50+ Artificial Intelligence (AI) Jobs in India

We’re Hiring | Full Stack Developer

About MotionGility

MotionGility is building India's first AI-powered SaaS platform that automates explainer video production for SaaS/AI companies. We combine a Full AI tools stack into a single pipeline that takes a client's product brief and delivers a complete explainer video — script, illustrations, voiceover, and animation — in under a few minutes. We have 11 years of agency experience producing 500+ SaaS explainer videos and we are now building the platform that does this at scale, with AI.

This is an early-stage product role. You will be the first full-time developer on the team, working directly with the founders

Position: Full Stack Developer

Location: Indore (Onsite)

Type: Full-time

Experience: 2-3 Years

Notice Period: Immediate Joiner or Up to 30 Days Notice Period Accepted

Key Responsibilities

• Build and maintain the client-facing SaaS platform using React, Next.js, TypeScript, and Supabase.
• Develop project dashboards, approval workflows, and video delivery interfaces.
• Implement authentication, authorization, and role-based access control.
• Integrate payment gateways and third-party AI APIs.
• Build real-time project tracking and notification systems.
• Ensure application performance, scalability, and responsive design.
• Collaborate directly with founders on product development and technical decisions.

Tech Stack

Frontend: React, Next.js, TypeScript, Tailwind CSS

Backend: Supabase (PostgreSQL, Auth, Storage, Realtime, Edge Functions)

Payments: Razorpay

Automation: n8n Cloud

Deployment: Vercel / Netlify

AI Integrations: OpenAI, ElevenLabs, Recraft V3, Runway Gen-3, GPT Images, Nano Banana, Higgsfield, and related AI APIs

Requirements

Must-Have Skills

• Minimum 2 years of experience building and shipping React applications.
• Working knowledge of TypeScript and modern frontend development.
• Experience with SQL, PostgreSQL, or Supabase databases.
• Experience integrating at least one payment gateway in a production project.
• Ability to showcase at least one live deployed product built personally.

Preferred Skills

• Experience with Next.js (App Router and API Routes).
• Hands-on experience with Supabase Auth, RLS policies, and Realtime features.
• Prior experience in a startup or early-stage SaaS environment.
• Strong product thinking and problem-solving mindset.

This Role Is Not Suitable If

• You require detailed specifications before starting development.
• You cannot demonstrate a live product you have built.
• You depend heavily on senior developers for technical decisions.
• You prefer backend or infrastructure-focused roles over product development.

What You'll Gain

• Direct mentorship from experienced founders.
• Ownership of the complete client-facing product.
• Exposure to cutting-edge AI technologies and workflows.
• Flexible working culture focused on outcomes.
• Opportunity for ESOPs based on performance and contribution.
• Fast career growth with potential progression into leadership roles.

Job description:

We are looking for a creative and detail-oriented Graphic Designer to join our team. If you have a passion for visual storytelling, a good eye for design, and are eager to learn and grow, we'd love to hear from you. Freshers with a strong portfolio are encouraged to apply.

Key Responsibilities:

• Design creative graphics for social media, marketing campaigns, and branding.
• Create banners, posters, brochures, presentations, and other marketing materials.
• Edit images and create visually appealing layouts.
• Collaborate with the marketing and content teams to develop engaging creatives.
• Ensure brand consistency across all design assets.
• Incorporate feedback and deliver high-quality designs within deadlines.

Requirements:

• Freshers or candidates with at least 6 months of experience in graphic design.
• Proficiency in Adobe Photoshop, Illustrator, Canva, or similar design tools.
• Basic understanding of typography, color theory, and layout principles.
• Creativity, attention to detail, and a willingness to learn.
• Good communication and time management skills.
• A portfolio showcasing your design work is preferred.

Preferred Skills:

• Knowledge of Adobe InDesign, Figma, or After Effects is a plus.
• Basic photo editing and video editing skills are an added advantage.

About the company

The client is building an AI-native platform for modern law firms.

Legal work is evolving rapidly, but much of the industry's workflow continues to rely on fragmented software and manual processes. The team is building an intelligent platform that helps law firms streamline work across the entire legal lifecycle, including document screening, drafting, filing, research, compliance, and other high-value legal workflows.

Their founding team combines deep expertise across both law and technology, giving us a unique perspective on how AI can fundamentally reshape legal operations while maintaining the precision and reliability that the profession demands.

We're looking for engineers who want to build products from first principles, move quickly, and help define the future of AI in legal technology.

About the role

We're hiring a Founding Software Engineer to help build the core platform from the ground up.

This is a high-ownership role. You'll work across backend systems, AI infrastructure, product architecture, and deployment, collaborating directly with the founders to design and ship features that reach customers quickly.

If you enjoy solving hard engineering problems, shipping fast, and working in a small, ambitious team, we'd like to talk.

What You'll Build

• AI-powered legal workflows for law firms
• Agentic systems for drafting, screening, and legal document analysis
• Reliable backend services and APIs
• Retrieval and knowledge systems for legal intelligence
• Evaluation pipelines to improve AI quality and reliability
• Internal developer tooling and scalable platform infrastructure

What We're Looking For

• 1-2 years of software engineering experience
• Strong Proficiency in at least one backend language: Python (FastAPI or Django), or Node.js
• Experience working with at least one database: MongoDB, PostgreSQL, MySQL, or another relational database
• Understanding of modern AI application architecture, including concepts such as: Agentic systems AI SDKs Retrieval-Augmented Generation (RAG) Prompt engineering Evaluation frameworks (Evals)
• Strong system design and problem-solving skills
• Ability to ship production-quality software quickly
• High ownership and bias toward execution
• Comfortable learning new technologies as the product evolves

Nice to Have

• Experience building products in Compliance, FinTech, RegTech, or LegalTech
• Experience deploying and operating AI-powered production systems
• Familiarity with cloud platforms and modern deployment workflows
• Experience working in an early-stage startup

What We Value

• High agency
• Strong engineering fundamentals
• Curiosity and continuous learning
• Fast execution without compromising quality
• Clear communication and collaborative problem solving

Why Join Us

• You'll be joining at the earliest stage of the company and will help shape both the product and the engineering culture.
• This is an opportunity to work directly with founders who combine legal and technical expertise, solve meaningful problems for the legal industry, and build AI systems that are used every day by legal professionals.
• If building from zero excites you more than m

About the company

The client is building an AI-native platform for modern law firms.

Legal work is evolving rapidly, but much of the industry's workflow continues to rely on fragmented software and manual processes. The team is building an intelligent platform that helps law firms streamline work across the entire legal lifecycle, including document screening, drafting, filing, research, compliance, and other high-value legal workflows.

Their founding team combines deep expertise across both law and technology, giving us a unique perspective on how AI can fundamentally reshape legal operations while maintaining the precision and reliability that the profession demands.

We're looking for engineers who want to build products from first principles, move quickly, and help define the future of AI in legal technology.

About the role

We're hiring a Founding Software Engineer to help build the core platform from the ground up.

This is a high-ownership role. You'll work across backend systems, AI infrastructure, product architecture, and deployment, collaborating directly with the founders to design and ship features that reach customers quickly.

If you enjoy solving hard engineering problems, shipping fast, and working in a small, ambitious team, we'd like to talk.

What You'll Build

• AI-powered legal workflows for law firms
• Agentic systems for drafting, screening, and legal document analysis
• Reliable backend services and APIs
• Retrieval and knowledge systems for legal intelligence
• Evaluation pipelines to improve AI quality and reliability
• Internal developer tooling and scalable platform infrastructure

What We're Looking For

• 3-5 years of software engineering experience
• Strong Proficiency in at least one backend language: Python (FastAPI or Django), or Node.js
• Experience working with at least one database: MongoDB, PostgreSQL, MySQL, or another relational database
• Understanding of modern AI application architecture, including concepts such as: Agentic systems AI SDKs Retrieval-Augmented Generation (RAG) Prompt engineering Evaluation frameworks (Evals)
• Strong system design and problem-solving skills
• Ability to ship production-quality software quickly
• High ownership and bias toward execution
• Comfortable learning new technologies as the product evolves

Nice to Have

• Experience building products in Compliance, FinTech, RegTech, or LegalTech
• Experience deploying and operating AI-powered production systems
• Familiarity with cloud platforms and modern deployment workflows
• Experience working in an early-stage startup

What We Value

• High agency
• Strong engineering fundamentals
• Curiosity and continuous learning
• Fast execution without compromising quality
• Clear communication and collaborative problem solving

Why Join Us

• You'll be joining at the earliest stage of the company and will help shape both the product and the engineering culture.
• This is an opportunity to work directly with founders who combine legal and technical expertise, solve meaningful problems for the legal industry, and build AI systems that are used every day by legal professionals.
• If building from zero excites you more than maintaining legacy systems, we'd love to hear from you

The problem you are solving

250 million students sit exams in India every year. Every answer sheet is graded by a tired human with a red pen, in a room with no AC, in 45-degree heat, under political pressure. The variance in marks between two evaluators on the same paper can be 15-20%. That is not education. That is luck. We are building the AI that changes this — reading handwriting, understanding context, scoring semantically, flagging uncertainty, matching faculty-level accuracy. We need the engineer who will make this work at scale.

What you will build

HTR

Handwriting recognition on smudged, mixed-script answer sheets — not clean printed text

Layout

Detect question boundaries, diagrams, tables, margin notes across 20+ page booklets

NLP

Semantic scoring — does this answer mean the right thing, not just contain the right words

Confidence

Know when the model is unsure and route to human review with explainability

Scale

Process millions of pages during exam seasons — async pipeline on AWS SQS + GPU workers

Must have built something hard — any of these

Document OCR / HTR pipeline

Fine-tuned LLM for domain scoring

Layout / document understanding model

Semantic similarity / NLI at scale

GPU inference pipeline (TensorRT/ONNX)

Multi-language NLP (Indic languages +)

Competition — 3 rounds

Round 1

Given 50 real (anonymized) answer sheets: build a pipeline that extracts, structures and scores them. Accuracy vs faculty marks is the metric.

Round 2

48-hour sprint: improve your Round 1 model given live feedback on failure cases. Confidence calibration included.

Round 3

Live oral defense with Sachin and Hemant. Walk us through every architectural decision. We will break it.

Job Title: Growth Marketing & Digital Marketing Executive

Location: Thane (Mumbai) – Work from Office

Company: Funding Sathi (IGA Financial Private Limited)

Employment Type: Full-Time

About Funding Sathi

Funding Sathi is a fast-growing fintech platform focused on providing customized debt solutions to MSMEs, corporates, and enterprises across India. We work with leading Banks, NBFCs, Private Credit Funds, and Financial Institutions to structure and facilitate working capital, supply chain finance, structured debt, project finance, and business loans.

We are looking for a highly creative, AI-savvy, and execution-focused Growth Marketing Executive who can build our brand, strengthen our digital presence, generate quality leads, and establish our founders as thought leaders in the financial services industry.

Key Responsibilities

Brand Building & Digital Marketing

• Develop and execute digital marketing strategies to increase Funding Sathi's brand visibility.
• Build a strong online presence across all digital platforms.
• Maintain brand consistency across all marketing communications.
• Plan and execute marketing campaigns to support business growth.

Founder Branding & PR

• Manage and grow the LinkedIn presence of the founders and leadership team.
• Create high-quality thought leadership content.
• Build the founders' personal brands through strategic storytelling.
• Identify podcast, webinar, media, and PR opportunities.
• Prepare speeches, articles, opinion pieces, and interview content.

Social Media Management

Manage and grow the company's presence across:

• LinkedIn
• Instagram
• X (Twitter)
• Facebook
• YouTube

Responsibilities include:

• Content planning
• Content scheduling
• Community engagement
• Audience growth
• Social media analytics
• Performance reporting

AI-Powered Content Creation

Use AI tools to create engaging and high-quality content including:

• LinkedIn posts
• Blogs
• Articles
• Case studies
• Customer success stories
• Product explainers
• Newsletters
• Email campaigns
• Infographics
• Sales presentations
• Marketing collateral
• Short-form video scripts

Preferred AI & Creative Tools:

• ChatGPT
• Gemini
• Claude
• Canva
• CapCut
• Adobe Express
• Notion AI (Good to Have)

Organic Growth Marketing

Generate inbound business opportunities through:

• SEO
• LinkedIn marketing
• Email marketing
• WhatsApp campaigns
• Google Business Profile optimization
• Industry directory listings
• Community engagement
• Content marketing
• Strategic partnerships

Performance Marketing

• Manage Google Ads campaigns.
• Execute Meta Ads and LinkedIn Ads.
• Optimize campaigns for lead generation and ROI.
• Monitor advertising budgets and campaign performance.
• Improve landing page conversion rates.

Website & SEO

• Update website content regularly.
• Improve organic search rankings.
• Conduct keyword research.
• Publish SEO-friendly blogs and articles.
• Track website traffic and user behavior.

Creative Design & Video Marketing

Create and coordinate:

• Corporate presentations
• Product brochures
• Company profiles
• Infographics
• Reels
• Founder videos
• Customer testimonial videos
• Event creatives
• Marketing videos

Marketing Analytics & Reporting

Track and report:

• Lead generation performance
• Website traffic
• Social media growth
• Campaign ROI
• Engagement metrics
• Content performance

Prepare:

• Daily Activity Reports (DAR)
• Weekly Marketing Reports
• Monthly Growth Dashboard

Required Skills

Must Have

• 2–5 years of experience in Digital Marketing, Growth Marketing, or Brand Marketing.
• Strong understanding of B2B Marketing.
• Experience managing LinkedIn and other social media platforms.
• Hands-on experience with AI content generation tools.
• Excellent written and verbal English communication skills.
• Canva and basic video editing skills.
• SEO fundamentals.
• Google Analytics knowledge.
• Campaign management skills.
• Creative thinking with strong execution ability.

Preferred

• Experience in Fintech, Banking, NBFC, Financial Services, or SaaS.
• Experience in founder branding and personal branding.
• Performance marketing experience.
• Basic graphic design skills.
• Video editing experience.

Key Performance Indicators (KPIs)

• Increase Funding Sathi's digital brand visibility.
• Grow founder LinkedIn reach and engagement.
• Generate qualified inbound corporate leads.
• Increase website traffic and organic rankings.
• Execute successful digital marketing campaigns.
• Publish high-quality marketing content consistently.
• Improve engagement across social media platforms.
• Deliver measurable marketing ROI.

What We Offer

• Opportunity to work directly with the founders.
• High ownership and decision-making responsibilities.
• Exposure to India's corporate finance and fintech ecosystem.
• Freedom to experiment with AI-powered marketing strategies.
• Fast career growth in a rapidly expanding company.
• Performance-based incentives and career advancement opportunities.

If you are passionate about digital marketing, AI-driven content creation, branding, and growth marketing, and want to build one of India's leading fintech brands, we'd love to hear from you.

The problem you are solving

50,000 students. Hundreds of classrooms. Attendance marked on paper by a faculty member who has 90 seconds to call roll before lecture starts. It is inaccurate, gameable, and meaningless as data. We are replacing it with existing CCTV infrastructure — no new hardware, no wristbands, no apps. Just cameras that already exist, a model that recognises faces at scale in real-time, and a system smart enough to also tell you which rooms are overcrowded, which are empty, which have lights burning with nobody inside, and which need security attention. Campus intelligence, from cameras that are already there.

What you will build

Face recog.

Identify 50,000 enrolled students from CCTV feed — low-res, partial occlusion, varying angles

Attendance

Real-time auto-marking at scale, synced to the student ERP — no manual input

Crowd detects

Flag overcrowded rooms vs capacity threshold, real-time alerts to admin

Empty rooms

Detect booked-but-empty rooms and free them up automatically

Utilities

Lights on in empty room, fan running, AC on — flag for facilities team with camera snapshot

Edge + cloud

Low-latency processing at edge where needed, aggregation and analytics on cloud

Must have built something hard — any of these

Face recognition at 10,000+ identities

Real-time video analytics pipeline

YOLO / object detection production deploys

Multi-camera synchronization system

Edge inference (Jetson / Open VINO / ONNX)

Crowd / occupancy detection system

Competition — 3 rounds

Round 1

Given a set of low-res CCTV stills from a real campus: identify occupied vs empty rooms, count heads, detect lights-on-no-occupancy. Submit working code.

Round 2

48-hour sprint: extend your solution to handle a 10-camera simulated feed simultaneously. Latency under 2 seconds per frame is the bar.

Round 3

Live oral defense with Sachin and Hemant. Scale it to 500 cameras. Where does it break? How do you fix it?

We're building in a market that hit $47B in 2026 and is on track to hit $107.5B by 2028 and we're not chasing that opportunity from the sidelines. Our founding team brings marketing expertise from Kotak and Amazon paired with deep AI chops. We were selected into Google's AI Accelerator program, and we already have paying customers like Kotak and Myntra using the product in production.

Join us early and help build the infrastructure that turns AI marketing adoption (already at 88%) into real, scaled results for customers who are already paying for it, not case studies.

Role Name: Founding Product Manager, Applied AI

Location: Mumbai • Hybrid •

Reports to: CTO

WHAT THIS ROLE ACTUALLY IS

Weve built a multi-agent AI system for marketing. It works well out of the box but every client (their data, workflows, brand rules, compliance constraints, output preferences) is different. Generic doesn’t ship results. Customised does.

This role is the bridge: you sit between our agent architecture and the client’s reality. You understand both deeply, and you make the agents do what each specific client needs them to do.

You’re a PM who knows the spec-to-engineer handoff is where products die. So you don’t hand off. You open Claude Code or Codex and ship the change yourself.

WHAT YOU'LL DO

Day-to-day split: roughly 60% on client work, product judgment, and shaping what to ship — 40% directly in Codex and Claude Code shipping it.

·      Own client outcomes end-to-end. From discovery to live deployment, you are the person responsible for whether the agents actually solve the client’s problem.

·      Translate ambiguity into working systems. Clients don’t know what they want until they see it. You probe, prototype, demo, iterate — without waiting for an engineer to be free.

·      Customise the agents yourself. Tune prompts, build new agent capabilities, configure workflows, wire up integrations. Codex and Claude Code do the heavy lifting; your product judgment does the steering.

·      Diagnose creative problems sharply. When a CMO says “this doesn’t feel right,” you can question intelligently — is it the prompt, the input brief, the brand guidelines themselves, or the client’s own confusion? Most PMs nod and forward to engineering. The good ones diagnose first, then fix.

·      Feed learnings back to core product. Anything that gets customised 3+ times becomes a platform feature. You decide what graduates.

·      Build the playbook. As we scale from 10 to 50 to 100 clients, the customisation patterns you create, become the foundation others work from.

WHAT YOU NEED

·      Real product judgment. You can hear “we need a dashboard” and figure out the actual problem is “the marketing director doesn’t trust the agent’s decisions yet.” You’ve done this before, in a role where the outcome was on you.

·      Hands-on technical ability. You don’t need a CS degree, but you must be able to read code, write code with AI tools, debug, and ship. If you’ve never opened Claude Code or Codex and built something real, this role isn’t for you. Coding is part of the daily job, not an occasional adventure.

·      Comfort with agents as a system. You understand how LLMs fail, why prompts drift, what context engineering means, when to use tools vs. fine-tuning, why eval harnesses matter. If “MCP,” “tool use,” and “agent harness” feel like jargon, this isn’t the role.

Client-facing instincts. Comfortable in a room with a CMO, an enterprise IT head, and a junior brand manager — and you can switch register for each in the same meeting.

·      Creative literacy. You don’t need to be a designer. You do need to be able to tell the difference between “this output is technically broken” and “this output is technically fine but creatively wrong” — and chase the right thread.

·      Bias toward shipping. A working hack today beats a clean design next quarter.

YOU'LL THRIVE HERE IF

·      You’re a PM who realised the engineer handoff is where your products die.

·      You’ve quietly learned to ship in Claude Code or Cursor on the side because you got tired of waiting.

·      You want a role where coding ability is upside, not heresy.

·      You like marketing as a domain — or you’re willing to fall in love with it.

YOU WON'T THRIVE HERE IF

·      You want to write strategy decks more than you want to ship features.

·      You think “PM doesn’t code” is a principle worth defending.

·      You think AI is overhyped (we don’t).

·      You need a fully scoped backlog and weekly sprint rituals.

At Oracle Health, we're transforming healthcare administration through Oracle Health Insurance (OHI), a cloud-native payer platform supporting enrollment, billing, benefits administration, provider payments, and claims adjudication. 

As Oracle expands Oracle Health Insurance capabilities globally, including support for U.S. Medicare, Medicaid, commercial insurance programs, and AI-enabled claims processing, we're investing in engineers who are passionate about building the next generation of healthcare payer solutions.

As an IC3 Software Development Engineer, you will contribute to the design and development of scalable cloud services, healthcare business workflows, and AI-powered capabilities that improve operational efficiency for health plans and government programs.

Responsibilities

As a member of the software engineering division, you will assist in defining and developing software solutions associated with Oracle Health Insurance products. You will design, develop, test, and deploy software components while collaborating with cross-functional teams across product management, architecture, QA, and customer implementations.

Key Responsibilities

• Develop and enhance OHI modules supporting enrollment, benefits, claims, and payments. 
• Build scalable microservices and APIs supporting payer workflows. 
• Contribute to healthcare payer platform capabilities and country-specific configurations. 
• Participate in AI and automation initiatives leveraging LLMs and agent-based solutions. 
• Develop integrations using healthcare standards and EDI transactions. 
• Troubleshoot production issues and support continuous improvement initiatives. 
• Collaborate with distributed engineering teams to deliver high-quality software. 

Mandatory Qualifications

• BS/MS in Computer Science or related field. 
• 4-6 years of software engineering experience. 
• Strong programming skills in Java and/or Python. 
• Experience with REST APIs and distributed systems. 
• Strong SQL and database fundamentals. 
• Experience with cloud technologies (OCI, AWS, or Azure). 
• Knowledge of software design patterns and object-oriented design. 
• Experience working in Agile development environments. 
• Familiarity with CI/CD pipelines and automated testing. 
• Experience leveraging AI-assisted software development tools and modern developer productivity technologies. 

Preferred Qualifications

• Healthcare payer domain knowledge. 
• Exposure to claims processing, enrollment, benefits administration, or provider payments. 
• Familiarity with Medicare, Medicaid, or commercial insurance workflows. 
• Experience with GenAI, prompt engineering, or AI agents.

Job Location 

Bengaluru, Hyderabad or Noida

Job Summary 

Oracle Health is looking for an Applied Scientist 5 to build and productionize advanced AI/ML solutions that power next-generation healthcare platforms. In this senior individual contributor role, you will lead end-to-end applied research and development across areas such as clinical NLP, recommendations, anomaly detection, LLM-based assistants, and predictive modeling—working closely with product, engineering, and clinical experts to deliver measurable impact on patient outcomes and provider efficiency.

Responsibilities 

• Lead the design, development, and deployment of AI/ML models for Oracle Health products (e.g., clinical NLP, triage, risk prediction, workflow automation, recommendations).
• Own end-to-end ML lifecycle: problem formulation, data exploration, feature engineering, modeling, experimentation, evaluation, and productionization.
• Build and optimize models using modern techniques: deep learning, transformers, LLMs, sequence models, gradient boosting, and classical ML where appropriate.
• Design and implement scalable training, inference, and monitoring pipelines in partnership with platform and backend engineering teams.
• Collaborate with product managers, clinicians, and domain experts to define use cases, metrics, and success criteria aligned to clinical and business outcomes.
• Drive experimentation at scale (A/B tests, offline/online evaluation), and translate results into product decisions.
• Work with large, noisy, and heterogeneous healthcare datasets (structured, unstructured text, time-series, logs, and images where relevant) while preserving privacy and compliance.
• Ensure models meet requirements for robustness, fairness, explainability, reliability, and security, especially in clinical workflows.
• Mentor and guide junior scientists and engineers; review designs, code, experiments, and documentation.
• Contribute to the long-term AI/ML roadmap, architecture, tooling, and best practices within Oracle Health and across Oracle AI teams.
• Stay current with research in AI/ML, especially in healthcare and LLMs, and bring relevant advances into production systems.

Required Qualifications 

• 10+ years of experience in applied machine learning, data science, or related roles, with a strong track record of shipping production ML systems.
• PhD in Computer Science, Machine Learning, Statistics, or related field, or MTech/MS with strong applied experience.
• Deep expertise in at least one of: NLP (including transformers/LLMs), time-series modeling, recommendation systems, optimization, or causal inference.
• Strong hands-on skills in Python and ML ecosystems (e.g., PyTorch, TensorFlow/JAX, Hugging Face, scikit-learn, XGBoost/LightGBM).
• Proven experience designing experiments, defining metrics, and evaluating models rigorously in real-world settings.
• Experience building and deploying scalable ML services in production (microservices, REST/gRPC, or batch pipelines) in partnership with software engineering teams.
• Strong understanding of data management and MLOps concepts: feature stores, model versioning, monitoring, drift detection, and CI/CD for ML.
• Ability to translate ambiguous business or clinical problems into well-defined ML formulations and deliver solutions with clear impact.
• Excellent communication skills, with experience influencing cross-functional stakeholders and making clear technical and product recommendations.

Preferred Qualifications 

• Experience with LLMs and generative AI: prompt engineering, fine-tuning, retrieval-augmented generation (RAG), safety/guardrails, and evaluation.
• Background working with healthcare data (EHR/EMR, clinical notes, claims, imaging, device data) or other regulated, high-stakes domains.
• Familiarity with privacy, security, and compliance requirements (HIPAA or similar), de-identification, and data governance.
• Experience with cloud platforms and distributed systems (OCI preferred; AWS/Azure/GCP also relevant), and technologies such as Kubernetes, Docker, Kafka, Spark.
• Contributions to research (publications, patents, open-source projects) in machine learning, NLP, or related fields.
• Experience leading technical strategy, roadmaps, or cross-team AI/ML initiatives.

About Oracle Health 

Oracle Health is transforming healthcare by building secure, intelligent, and scalable cloud-based solutions that help clinicians make better decisions and improve patient outcomes. As an Applied Scientist 5, you will shape the AI/ML foundation of Oracle Health, working on mission-critical problems at the intersection of cloud, data, and healthcare.

Position Responsibilities:

Deltek is seeking a skilled specialized Automation Engineer with expertise in testing and test automation of AI-powered workflows and intelligent features across ERP product lines. This role blends traditional ERP quality engineering with next-gen AI validation, ensuring that embedded AI capabilities are accurate, safe, compliant, explainable, and scalable.

The ideal candidate needs strong ERP domain knowledge, hands-on automation expertise, and understands how to evaluate LLM-driven responses, predictive analytics, recommendations, and AI decision support outputs. This role requires a detail-oriented individual who can work collaboratively with cross-functional teams to ensure the delivery of high-quality ERP solutions.

Responsibilities

• Develop end-to-end test strategy for AI features across ERP modules such as Finance, Supply Chain, Projects, HR, and Payroll
• Execute functional, regression, scenario-based, and exploratory testing for AI-enhanced workflows
• Validate AI/ML outputs including:
• Prediction accuracy & scoring
• Recommendation relevance
• Natural-language responses
• Behavior consistency across edge cases
• Create and maintain automation suites for UI/API and AI validations
• Design AI safety test cases → hallucination detection, bias testing, ethical and compliance alignment
• Collaborate with Product Managers, AI/ML engineers, SMEs, and Developers to define release quality gates
• Ensure test coverage of data pipelines: input validation, data sampling, transformations, and output visualizations
• Contribute to performance, scalability & data-drift testing of AI features in ERP contexts
• Maintain test documentation — test plans, test cases, defect logs, and sprint reports
• Drive automation adoption in CI/CD pipelines for AI-enabled releases
• Provide mentorship to senior engineers and teams, guiding best practices and fostering professional development.

Qualifications & Experience:

• BS/MS degree in Computer Science or a related field.
• 6+ years of proven experience in automation testing, with at least 2+ years working with AI or ML-based systems
• Proven track record of designing and implementing AI Based automation solutions.
• Expertise in multiple automation tools and frameworks, with a deep understanding of the latest technologies.
• Experience in developing and refining overall strategies for API testing.
• Proficiency in using version control systems like Git for managing code.
• Experience with cloud-based ERP solutions.
• Experience with performance and security testing.
• Strong debugging and analytical skills

Good-to-Have Skills

• Understanding of LLM fine-tuning, vector databases, RAG pipelines, embeddings
• Familiarity with data privacy & compliance frameworks
• Experience with security testing for AI systems
• Exposure to AIOps or self-healing automation frameworks.

Technical Qualifications:

• In-depth understanding of modern QA methodologies, tools, and processes with a focus on AI-driven features and intelligent workflows.
• Strong understanding of API architectures including REST, SOAP, GraphQL, and WebSocket, along with experience validating AI-generated responses via APIs (e.g., LLM response endpoints, inference APIs).
• Hands-on experience with API testing tools such as Postman, SoapUI, JMeter, or REST Assured, including automated evaluation of AI output scoring / JSON inference payloads.
• Proficiency in one or more programming languages — Java, Python, or JavaScript — with the ability to build AI output validation utilities, automated prompt-testing harnesses, or data-driven frameworks.
• Knowledge of CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and automation integration for AI feature regression and model-response validation.
• Familiarity with LLM / ML concepts from a QA perspective — prompt testing, hallucination detection, prediction scoring, explainability validation, bias checks, guardrail/output sanitization.
• Strong SQL and database testing skills, including validation of training datasets, feature store data, and end-to-end AI data pipelines.
• Good understanding of Agile / Scrum development practices with experience participating in AI model release cycles (shadow mode, AB comparison, fine-tuning validation, or phased rollout).
• Soft Skills:
• Excellent communication and collaboration skills.
• Ability to manage multiple tasks/projects concurrently.
• Strong interpersonal skills for working in a team-oriented environment.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team in a fast-paced environment.
• Proactive and self-motivated with a strong desire for continuous learning and improvement.

About Us: We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC,

Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Role: Tech Lead

Experience Level: 5+ Years

Location: Bangalore, Karnataka (On-site)

Technical Lead Responsibilities:

● Determining project requirements and developing work schedules for the team.

● Delegating tasks and achieving daily, weekly, and monthly goals.

● Liaising with team members, management, and clients to ensure projects are completed to standard.

● Identifying risks and forming contingency plans as soon as possible.

● Analyzing existing operations and scheduling training sessions and meetings to discuss improvements.

● Updating work schedules and performing troubleshooting as required.

● Being transparent with the team about challenges, failures, and successes.

● Writing progress reports and delivering presentations to the relevant stakeholders.

● Hands-on experience working with AI-driven projects, AI tools, and automation platforms.

Technical Lead Requirements:

● Bachelor’s degree in computer science, engineering, or a related field.

● Relevant Management certification may be required.

● 5+ years of experience in a similar role would be advantageous.

● Excellent technical, diagnostic, and troubleshooting skills.

● Strong leadership and organizational abilities.

● Willingness to build professional relationships with staff and clients.

● Excellent communication, motivational, and interpersonal skills.

Languages needed: MERN Stack, React Native, Shopify.

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

What We're Looking For

MUST-HAVE

• Proven track record shipping AI/ML products — LLMs, agentic systems, NLP, or vision

• Deep understanding of transformers, embeddings, fine-tuning, and RAG — not surface-level

• GTM experience: positioning, pricing, channel strategy, and adoption metrics

• Working knowledge of at least one programming language (Python preferred)

• Ability to turn ambiguous problems into product decisions quickly

GOOD TO HAVE

• Hands-on with agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)

• Background in consumer research, CPG/FMCG, or social analytics

• Experience in a zero-to-one or founding team environment

• Engineering or technical degree from a Tier 1 institution

Why Join

• Work with a CPTO who codes — no layers between your ideas and engineering

• Real clients, real scale — your product drives billion-dollar decisions at Unilever, P&G;

• Category-defining space — no dominant player in video-native consumer intelligence yet

• Small team (~132 people), startup pace, enterprise credibility

• Ownership and impact from Day 1

Role: Marketing Executive (SaaS / B2B) 

Location: Pune, Maharashtra 

Experience: 1 – 4 Years

About Appmaker (by StarApps)

We don’t just build apps; we build massive revenue channels for the world's most exciting D2C brands.

Appmaker is a top-tier, zero-code mobile app builder for Shopify merchants. We empower brands to create stunning, high-performance native iOS and Android apps that drive real growth. We are the engine behind the mobile commerce success of industry leaders like Levi’s, Jockey, XYXX, Rare Rabbit, Supertails, Kalki, and Two Brothers Organic Farms.

Why Marketers Love Selling Appmaker: Unlike our competitors (Tapcart, Shopney, Vajro), we don’t do "cookie-cutter." We win on depth, flexibility, and performance. We give merchants complete brand control, AI-powered growth tools, and enterprise-ready integrations (Shopify Flow, Klaviyo, Attentive). For a marketer, this means you are promoting a best-in-class product with a massive competitive moat.

The Opportunity

We are looking for a creative, data-obsessed, and AI-native marketer to help us scale our demand generation and brand presence.

Working directly with our Marketing Head and Founder, you won’t just be a cog in a machine—you will be a key player in shaping how the global Shopify ecosystem perceives and adopts Appmaker. If you love the intersection of SaaS, e-commerce, and cutting-edge tech, this is your playground.

What You’ll Drive

• Multi-Channel Campaigns: Design and execute high-converting campaigns across email, social media, and community platforms.
• Social & Audience Growth: Take ownership of our LinkedIn, YouTube, Instagram, and newsletters, turning followers into advocates.
• Go-To-Market Execution: Play a pivotal role in product launches, ensuring our new features make a splash in the market.
• Data-Driven Optimization: Analyze campaign performance, track e-commerce trends, and iterate based on what the data tells you.
• Cross-Functional Collaboration: Work closely with our product and design teams to ensure our messaging perfectly aligns with our cutting-edge features.

Who You Are

• Experienced in the Space: You have 1–4 years of marketing experience, ideally in SaaS, B2B, or e-commerce.
• An Exceptional Communicator: You know how to write copy that hooks readers and explains complex value propositions simply.
• AI-Native: You actively use AI tools to multiply your output and optimize your marketing workflows.
• A Proactive Hustler: You are highly organized, self-motivated, and don't wait for instructions to execute good ideas.
• An Experimenter at Heart: You aren't afraid to test new channels, fail fast, and scale what works.

Bonus Points If You Have:

• Deep knowledge or prior experience within the Shopify ecosystem.
• A knack for video and multimedia content creation.
• Experience building highly automated AI marketing workflows.

Why Join Us?

At Appmaker, you will be at the forefront of the e-commerce revolution, working from our Pune office with a fast-moving, innovative team. You’ll get the creative freedom to test bold ideas, the data to back them up, and the opportunity to grow your career alongside a rapidly scaling global SaaS product.

Ready to build the future of mobile commerce? Apply now.

Job Description :

We are looking for an experienced Sales Manager to drive international sales.. The role involves managing global clients, generating new business, and working closely with marketing and product teams to grow revenue across international markets.

Key Responsibilities

• Manage and grow international client accounts
• Generate new leads and close deals.
• Handle end-to-end sales cycle: prospecting, pitching, negotiation, and closure
• Build strong relationships with global customers and partners
• Work with marketing teams on lead generation and campaigns
• Identify new international markets and business opportunities
• Maintain sales pipeline and reports using CRM tools
• Meet monthly and quarterly sales targets

Required Skills & Experience

• 4–5 years of experience in international sales or business development
• Experience selling IT services, SaaS products, or AI solutions
• Strong understanding of sales and marketing fundamentals
• Excellent communication and negotiation skills
• Experience working with overseas clients and time zones
• Familiarity with CRM tools (HubSpot, Salesforce, Zoho, etc.)

Preferred Skills

• B2B sales experience
• Knowledge of digital marketing and lead generation
• Experience with US, UK, Europe, or Middle East markets

Why Join Us

• Work with cutting-edge IT / SaaS / AI products
• Exposure to global clients and markets
• Performance-based incentives and growth opportunities
• Fast-growing and collaborative work environment

Looking for someone strong in AI.  Who has built applications and

scaled them.

8+ years of experience in successfully building, deploying, and running complex, large-scale web or data products.

 ● Proven Management Experience: Demonstrated success managing a team of 5+ engineers for at least 2 years (managing timelines, performance, and hiring). You know how to transition a team from 'startup chaos' to 'structured agility'. 

● Full-stack Authority: Deep expertise with Javascript, Node.js, MySQL, and Python. You must have world-class expertise in at least one area but possess a solid understanding of the entire stack in a multi-tier environment. 

● Architectural Track Record: Has built at least two professional-grade products as the tech owner/architect and led the delivery of complex products from conception to release. 

● Program Management Skills: Ability to estimate complex projects accurately, manage stakeholder expectations, and hold the team accountable to deadlines. 

● Creative Engineering: A creative mind with an uncanny sense of design thinking and principles. 

● Values: Most importantly, the kind of values you have as a person. 

What Matters Somewhat 

● Experience in working with REST APIs, Machine Learning, Algorithms & AWS. 

● Familiar with visualization libraries and database technologies.

 ● Your reputation in the technology community within your domain. 

● Your participation and success in competitive programming. 

● Work on unusual/extraordinary hobby projects during school/college that were not a part of the curriculum. 

● The school that you come from and organizations where you have worked earlier. Personality Expectations We believe that it takes a certain type of personality to do a certain kind of role well. 

● Thoughtful & Analytical: Unlike a sales role, this role requires deep analytical ability and thoughtfulness. You don't just "hit goals at any cost"; you architect sustainable solutions that prevent future debt. 

● The "Pack Leader" Mentality: You are competitive, but you understand that your team's win is your win. You shift from getting a dopamine hit from solving a bug yourself to getting a hit from unblocking your team to solve ten bugs. 

● High Ownership of Outcomes: You don't just care that the code was written; you care that the feature was delivered, works for the customer, and didn't break production. You expect very highly of yourself and being less than ideal anywhere almost pains you. 

● Resilience: You possess the mental endurance to push through complex technical constraints and tight deadlines without losing your cool. 

● Uncompromising Values: On the other side, there is only one thing that we care for apart from performance - your values. We have room for mistakes on the performance side, we have no room for mistakes on your values. 

ob Title: AIML Engineer

Location: Hyderabad

Experience: 1+ year

Role Overview:

 We are looking for a passionate and skilled AI/ML Engineer to join our dynamic team. In this role, you will play a key part in designing and implementing intelligent systems, including the development of a cutting-edge Sales Supervisor Agent. You will work on projects involving Generative AI, Voice AI, sales performance analysis, and recommendation systems that drive automation and strategic decision-making in sales operations.

Key Responsibilities

1. AI/ML System Development

• Design, train, and deploy AI/ML models to identify patterns in sales behavior and trends.
• Develop intelligent recommendation engines to optimize sales strategies.
• Build real-time dashboards for sales performance monitoring and actionable insights.
• Integrate APIs for seamless interaction with internal and external systems.

2. Programming & Development

• Develop and deploy AI/ML models using Python.
• Work with PyTorch or TensorFlow for deep learning applications.
• Build and maintain backend services using FastAPI or Flask.
• Follow collaborative workflows using Git for version control and team development.

3. AI/ML Expertise

• Apply foundational knowledge of LLMs, Transformers, and Retrieval-Augmented Generation (RAG).
• Use NLP techniques to extract and understand customer insights.
• Manage the end-to-end ML lifecycle, including data preprocessing, model training, hyperparameter tuning, and production deployment.

4. Generative AI & Voice AI

• Experiment with Generative AI models (e.g., GPT, Claude) for tasks such as content creation, email generation, and chat-based assistance.
• Build and integrate AI Voice solutions like speech-to-text, call summarization, and conversational agents using tools such as Whisper, ElevenLabs, or Dialogflow.
• Integrate GenAI and Voice AI capabilities into the Sales Supervisor Agent for automation and decision support.

5. Data Engineering & Analysis

• Write efficient SQL queries for data extraction and transformation.
• Use libraries like Pandas and NumPy for data preprocessing and analysis.
• Create meaningful visualizations to deliver actionable insights.

Preferred Skills

• Hands-on experience in applied ML or pattern recognition projects.
• Knowledge of time series analysis and forecasting techniques.
• Familiarity with vector databases such as Faiss or Pinecone.
• Experience with RESTful APIs and cloud platforms (AWS, Azure).
• Exposure to modern AI dev tools like Cursor AI, Claude Code, Copilot, Gemini, Grok.AI, or Codegiantio.

Qualifications

• B.Tech/B.E. in Computer Science, Data Science, or related fields.
• Strong foundation in AI/ML, data structures, and algorithms.
• 1–3 years of relevant experience in AI/ML engineering or applied machine learning.

Key Personal Attributes

• Strong analytical and problem-solving mindset.
• Quick learner with a passion for emerging AI technologies.
• Effective communicator and collaborative team player.
• Proactive and self-driven approach to work.

About WINIT

WINIT is a market leader in Mobile Sales Force Automation (mSFA) with over 25 years of industry expertise. We enable 600+ enterprises globally to enhance sales performance through automation, AI/ML, and real-time insights. Our next-gen AI-powered platform drives intelligent decision-making, optimized logistics, and compliance tracking. With continuous innovation and 24x7 global support, WINIT is shaping the future of sales using AI, GenAI, and Voice AI technologies.

About the Internship

SkillSecure X is seeking passionate Artificial Intelligence & Machine Learning (AI/ML) Interns who are eager to develop practical skills in machine learning, deep learning, and AI applications. Interns will work on guided projects, gain hands-on experience with real-world datasets, and learn industry-standard AI tools and techniques.

Responsibilities

• Assist in developing AI and Machine Learning models.
• Work with Python and popular ML libraries.
• Prepare, clean, and analyze datasets.
• Perform data preprocessing and model evaluation.
• Build basic predictive and classification models.
• Document project progress and complete weekly assignments.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Machine Learning fundamentals.
• Familiarity with Data Science concepts.
• Knowledge of libraries such as NumPy, Pandas, or Scikit-learn is a plus.
• Strong analytical and problem-solving skills.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or related disciplines.

Benefits

• Hands-on AI & ML project experience.
• Mentor-guided learning.
• Internship Completion Certificate.
• Letter of Recommendation (based on performance).
• Portfolio-building opportunities.
• Flexible remote internship.

About the Internship

SkillSecure X is looking for enthusiastic Embedded Systems & IoT Design Interns who are eager to gain practical experience in embedded programming, microcontrollers, sensors, and Internet of Things (IoT) applications. This internship offers hands-on learning through guided projects and industry-focused tasks.

Responsibilities

• Develop basic embedded and IoT applications.
• Work with microcontrollers such as Arduino or ESP32.
• Interface sensors, actuators, and communication modules.
• Write and debug embedded C/C++ programs.
• Assist in IoT-based project development.
• Document project progress and technical findings.
• Complete weekly assignments and practical tasks.

Required Skills

• Basic knowledge of Embedded Systems or Electronics.
• Familiarity with C/C++ programming.
• Understanding of microcontrollers and sensors.
• Interest in IoT technologies and hardware development.
• Good analytical and problem-solving skills.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Electronics, Electrical, Embedded Systems, IoT, Computer Science, Mechatronics, or related fields.

Benefits

• Hands-on industry-oriented projects.
• Mentor guidance throughout the internship.
• Internship Completion Certificate.
• Letter of Recommendation (based on performance).
• Opportunity to build a professional portfolio.
• Flexible remote internship.

About SkillSecure X

SkillSecure X is an EdTech and technology company focused on providing industry-oriented training, internships, and real-world project experience in Artificial Intelligence, Data Science, Web Development, Cloud Computing, Cybersecurity, and emerging technologies. Our internship programs are designed to bridge the gap between academic learning and industry requirements through practical assignments, mentor guidance, and project-based learning.

About the Internship

We are looking for motivated and enthusiastic Data Science with AI Interns who are passionate about data analysis, machine learning, and artificial intelligence. This internship provides hands-on exposure to real-world datasets, AI tools, predictive modeling, and data visualization while working on guided industry projects.

This opportunity is ideal for students and recent graduates who want to strengthen their practical skills and build a professional portfolio.

Responsibilities

• Analyze structured and unstructured datasets.
• Clean, preprocess, and transform data for analysis.
• Build basic machine learning models.
• Perform exploratory data analysis (EDA).
• Develop data visualization dashboards and reports.
• Work with Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
• Learn and apply AI concepts in practical use cases.
• Complete weekly project tasks and assignments.
• Document findings and present project outcomes.
• Collaborate with mentors and fellow interns.

Required Skills

• Basic knowledge of Python programming.
• Understanding of statistics and mathematics fundamentals.
• Familiarity with Data Science concepts.
• Basic understanding of Machine Learning.
• Knowledge of SQL is an added advantage.
• Good analytical and problem-solving skills.
• Strong communication and willingness to learn.

Eligibility

• Undergraduate or postgraduate students.
• Recent graduates.
• Students pursuing Computer Science, Information Technology, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related disciplines.
• Candidates with a strong interest in AI and Data Science are encouraged to apply.

What You'll Learn

• Python for Data Science
• Data Cleaning & Preprocessing
• Exploratory Data Analysis (EDA)
• Machine Learning Fundamentals
• Artificial Intelligence Concepts
• Data Visualization
• Model Evaluation
• Real-world Project Development
• Professional Documentation
• Industry Best Practices

Internship Benefits

• Hands-on project experience.
• Mentor-guided learning.
• Internship Certificate upon successful completion.
• Letter of Recommendation (based on performance).
• Opportunity to build a professional portfolio.
• Flexible remote working environment.
• Exposure to industry-standard tools and workflows.
• Networking with mentors and peers.

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Associate AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 5+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

We are looking for an experienced Laravel developer with strong expertise in PHP (Laravel framework), MySQL, and complex SQL query writing to develop and enhance our Education ERP platform. The ideal candidate should have hands-on experience working on large-scale ERP applications, handling high-volume data, and integrating AI-powered solutions into business workflows.

This is a permanent work-from-home opportunity for professionals passionate about building scalable and high-performance ERP solutions.

Key Responsibilities

• Develop, maintain, and enhance Education ERP modules using Laravel.
• Design and optimize complex SQL queries, stored procedures, views, and database structures for high-performance applications.
• Develop secure REST APIs and integrate third-party services.
• Handle large datasets and optimize application performance for enterprise-level usage.
• Debug, troubleshoot, and resolve application and database performance issues.
• Collaborate with cross-functional teams to deliver scalable and reliable solutions.
• Implement AI-powered features using LLMs, AI APIs, or automation tools to improve product capabilities and developer productivity.
• Follow coding standards, perform code reviews, and contribute to continuous product improvements.

Required Skills

• PHP
• Laravel Framework
• Core PHP
• MySQL
• Advanced SQL Query Writing
• Database Design & Optimization
• Query Performance Tuning
• REST API Development
• JavaScript
• jQuery
• HTML5
• CSS3
• Git/GitHub
• JSON
• AJAX
• AI Tools (ChatGPT, GitHub Copilot, Claude, Gemini, Cursor, etc.)
• AI API Integration (OpenAI, Gemini, Anthropic, or similar)

Mandatory Qualifications

• 3+ years of professional experience in Laravel development.
• Strong expertise in writing and optimizing complex SQL queries.
• Experience handling bulk data processing and database optimization.
• Hands-on experience in Education ERP or University/College ERP development.
• Practical experience integrating AI capabilities or using AI-assisted development tools.
• Good understanding of software architecture, security, and coding best practices.
• Excellent debugging and problem-solving skills.
• 
  

Preferred Experience

• Experience developing ERP solutions for Universities, Colleges, or Educational Institutions.
• Experience working on enterprise-scale applications with high concurrent users.
• Knowledge of ERP modules including Admissions, Fees, Examination, HR, Payroll, Inventory, Finance, Hostel, Transport, and LMS.
• Experience integrating payment gateways, SMS, email services, and third-party APIs.

Why Join Us?

• Permanent Work From Home.
• Opportunity to work on a large-scale education ERP product.
• Exposure to AI-driven product development.
• Challenging technical environment with opportunities to learn and grow.
• Long-term career growth with ownership of impactful projects.

Apply: https://processity.ai/careers/fullstack-ai-engineer

BigMantra is a Vertical Autonomous AI Agent Builder — we build AI companies that go a mile deep into specific industries. Our products include Mantra Spaces (AI-powered UK HMO property management) and Verity Law (AI-powered legal conveyancing). Our team is small, our stack is modern, and your code ships to production the same week you write it.

We're looking for a Fullstack AI Applied Engineer who can build full applications end-to-end and wire AI agents into production systems that real users depend on.

WHAT YOU'LL DO

• Build and ship full-stack web applications using React / Next.js and Python / Node.js

• Design and implement AI agent workflows using LangChain, LangGraph, Claude Agent SDK, Agno, or similar

• Integrate agents with real-world APIs — Salesforce, Google Workspace, WhatsApp Business, email providers

• Build and optimize database layers — production SQL, schema design, RAG pipelines

• Own deployment and infrastructure — Docker services, CI/CD pipelines on AWS or Azure

• Write tests that matter — E2E, load tests, performance benchmarks

• Collaborate directly with the founding team on architecture and product direction

MUST HAVE

• 3+ years of professional software engineering experience

• Strong JavaScript / TypeScript — React, Next.js, Node.js in production

• Strong Python — backends, agent systems, data pipelines

• Hands-on experience with at least one AI agent framework (LangChain, LangGraph, Claude Agent SDK, Agno, or equivalent)

• Docker services for containerization and deployment

• CI/CD pipelines — GitHub Actions, GitLab CI, or similar

• Deployment experience on AWS or Azure

• Solid SQL and database skills — schema design, query optimization

GOOD TO HAVE

• Experience with autonomous agents — MCP (Model Context Protocol), skills, plugins, tool-use

• Memory and context management for long-running agents

• Prompt engineering and optimization

COMPENSATION & BENEFITS

• ₹30L – 50L per annum (based on experience)

• Equity / ESOPs — early-stage participation

• Remote-friendly — Coimbatore office available

• Learning budget — courses, conferences, AI tooling subscriptions

• Flexible hours — output over seat time

Key Responsibilities:

• Design high-quality graphics for social media, website, performance marketing campaigns, emailers, and other digital platforms.
• Create motion graphics, animations, reels, and promotional videos for marketing and branding initiatives.
• Collaborate with marketing, content, and product teams to develop compelling visual concepts.
• Edit and enhance videos for advertisements, social media, and corporate communications.
• Ensure brand consistency across all visual assets.
• Stay updated with the latest design trends, tools, and industry best practices.
• Manage multiple design projects while meeting deadlines.

Requirements:

• 2–5 years of experience in Graphic Design and Motion Design.
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro), CapCut, Runaway ML, Blender.
• Strong portfolio showcasing graphic design, video editing, and motion graphics work.
• Good understanding of typography, color theory, layout design, and visual storytelling.
• Experience creating content for social media platforms and digital marketing campaigns.
• Ability to work in a fast-paced environment and manage multiple priorities.

Preferred Qualifications:

• Knowledge of UI/UX design principles is a plus.
• Familiarity with tools such as Figma, Canva

Role Overview

We are looking for an AI Security Engineer with a strong foundation in both Artificial Intelligence and Cyber Security. This role focuses on building secure AI systems,

protecting LLM-based applications, and embedding security across the entire AI lifecycle, from data to deployment.

Key Highlights

• Work hands-on with LLMs and Generative AI use cases with a strong security focus
• Design and secure RAG-based intelligent applications
• Implement secure vector databases and semantic search systems
• Drive AI security across MLOps and DevSecOps pipelines
• Opportunity to build and scale secure AI solutions in production environments

Required Skills & Qualifications:

• 5+ years of experience in Python development
• Strong experience with frameworks like Django, Flask, or FastAPI
• Hands-on expertise in AWS cloud services (EC2, Lambda, S3, RDS, ECS, etc.)
• Experience with Hugging Face, LangChain, Transformers
• Strong understanding of microservices and distributed systems
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB), vector databases
• Proficiency with version control practices
• Experience with CI/CD pipelines and automation tools

Must-Have Skills(AI- specific)

• Strong proficiency in Python
• Hands-on experience with ML, DL & Large Language Models (LLMs),
• Experience with RAG architecture and secure data pipelines
• Strong background in Cyber Security / Information Security domain
• Understanding of application security, cloud security, and network security fundamentals

Security-Specific Expertise

Strong knowledge of:

• OWASP Top 10 / API Security Top 10, Encryption (data at rest & in transit)
• Secure coding practices, Vulnerability Assessment & Penetration Testing (VAPT)
• Authentication & Authorization (OAuth2, JWT, SSO)
• Prompt Injection Attacks, Identity & Access Management (IAM)
• Data Leakage & Sensitive Data Exposure
• Model Poisoning / Adversarial Attacks
• Threat Modeling (STRIDE / MITRE ATT&CK)
• Secrets management (Vault, KMS, etc.)

Responsibilities

• Design and implement secure AI/ML architectures
• Perform AI security assessments, threat modeling, and VAPT
• Build and enforce LLM guardrails and security controls
• Collaborate with engineering teams to embed security-by-design principles
• Monitor and respond to AI-specific and cyber security threats
• Ensure compliance, governance, and risk management for AI systems

Company Overview:

Euphoric Thought Technologies is a cutting-edge technology firm dedicated to solving complex spatial and computational challenges through advanced artificial intelligence. We operate at the intersection of geospatial intelligence and machine learning, building scalable platforms that process massive datasets to provide actionable insights. Our culture is rooted in engineering excellence, where we empower our teams to push the boundaries of Generative AI and deep learning to solve real-world problems for global enterprises.

Role Overview:

As a Technical Lead for AI/ML, you will spearhead the design and implementation of sophisticated machine learning models integrated with geospatial data architectures. You will work closely with cross-functional teams, including data scientists, cloud engineers, and product managers, to translate complex business requirements into high-performance AI solutions. Your work will directly influence the scalability and intelligence of our core platforms, ensuring that our technical infrastructure remains at the forefront of the industry while delivering measurable value to our clients.

Key Responsibilities:

- Architect and deploy end-to-end AI/ML pipelines that integrate seamlessly with GIS and geospatial data streams to enhance predictive accuracy.

- Lead the development and fine-tuning of Large Language Models (LLMs) and Generative AI applications to automate complex analytical workflows.

- Design robust CI/CD pipelines for machine learning models to ensure rapid, reliable, and automated deployment across cloud environments.

- Mentor junior engineers and foster a culture of technical rigor, code quality, and innovative problem-solving within the AI/ML team.

- Collaborate with stakeholders to define technical roadmaps, ensuring that AI initiatives align with long-term business objectives and scalability requirements.

- Optimize deep learning models using frameworks like TensorFlow and PyTorch to improve inference speed and resource efficiency in production.

Required Skillset:

- Demonstrate deep expertise in building and scaling AI/ML solutions, backed by 6 to 8 years of professional experience in the field.

- Possess advanced proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow, with a proven ability to architect complex models.

- Exhibit strong knowledge of GIS and geospatial data processing, with the ability to integrate spatial intelligence into machine learning workflows.

- Showcase a solid foundation in Cloud Architecture, specifically in designing and managing AI/ML infrastructure on major cloud platforms.

- Demonstrate mastery in DevOps practices, including the implementation of CI/CD pipelines for machine learning models to streamline production cycles.

- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, facilitating seamless cross-departmental collaboration.

- Adapt quickly to a distributed work environment, maintaining high levels of productivity and team engagement across multiple locations.

Total Experience: 1+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)

Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security

What is the role all about?

We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.

The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.

What will you do?

• Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
• Integrate LLMs and AI APIs into production-grade applications.
• Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
• Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
• Build responsive, performant, customer-facing interfaces with React/Next.js.
• Contribute to design discussions, code reviews, and architectural decisions.

What are we looking for?

AI leverage: 

• You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster. 
• Comfortable with prompt engineering and judging AI output for production-readiness.

Engineering depth and delivery:

• Solid fundamentals: problem-solving, data structures, and how systems fit together. 
• At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB). 
• You write clean, production-grade code and you ship.
• Knowledge of application security or ethical hacking is an advantage.

Culture

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

Role: Full Stack Developer

Experience: 6–9 Years

Location: Pune / Bangalore

Work Mode: Hybrid (3 Days Work from Office)

Shift: General Shift

Payroll: Haparz

About the Role

We are seeking a highly skilled Full Stack Developer with expertise in modern Java technologies, React, and NodeJS to design and build scalable enterprise applications. The ideal candidate should have hands-on experience in developing microservices-based applications, designing APIs, and working with modern front-end frameworks. Experience with AI-enabled systems, LLM integrations, or intelligent automation platforms will be an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications using Java, React, and NodeJS.
• Build and maintain RESTful APIs and microservices using Spring Boot and Spring Framework.
• Develop responsive and reusable front-end components using React.
• Work with Hibernate/JPA for database integration and persistence.
• Design and optimize database schemas, queries, and stored procedures in Oracle or PostgreSQL.
• Develop event-driven applications and asynchronous processing solutions.
• Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders.
• Participate in application architecture discussions and technical design reviews.
• Ensure code quality through unit testing, code reviews, and best development practices.
• Work with CI/CD pipelines and cloud platforms for deployment and monitoring.
• Explore and implement AI-driven development approaches, including LLM integrations and intelligent automation where applicable.

Required Skills

Backend Technologies

• Java 17/21
• Spring Framework 6.x
• Spring Boot 3.x
• Hibernate 6.x
• REST APIs
• Microservices Architecture
• Event-Driven Systems

Frontend Technologies

• ReactJS
• JavaScript
• TypeScript
• HTML5
• CSS3

Additional Backend Skills

• NodeJS
• API Design
• JSON
• Maven/Gradle

Database

• Oracle Database
• PostgreSQL
• SQL Optimization

Cloud & DevOps (Preferred)

• PCF (Pivotal Cloud Foundry)
• AWS
• Azure
• Docker
• Kubernetes
• CI/CD Pipelines
• Git

Good to Have

• LLM Integrations
• AI-enabled Automation
• Intelligent Agents
• Agentic Architectures
• GitHub Copilot
• Claude
• Codex
• Prompt Engineering concepts

Senior Platform & Site Reliability Engineer

Location: Remote Employment Type: Contract

The Role

This role carries full architectural and operational ownership of the platform layer across a growing SaaS portfolio. The Cloud Architect owns AWS infrastructure standards — VPCs, account structures, networking, and compute design. Everything outside that lane is yours: the CI/CD platform, the observability and reliability stack, the event streaming infrastructure, the deployment pipelines, and the incident engineering model.

Architectural decisions are yours to make and defend, standards are yours to define and enforce, and the reliability of 20+ enterprise SaaS products depends on what you and your team build.

This is an AI-native engineering organisation. Where it is practical and safe to do so, you are expected to use automation and AI-assisted tooling to reduce toil — in CI/CD triage, infrastructure provisioning, observability workflows, and acquisition onboarding. The expectation is not to replace engineering judgement with automation, but to free it up for the problems that genuinely require it.

The Scale You Will Operate At

The portfolio consists of 20+ live, enterprise-grade SaaS solutions running concurrently. Each product serves enterprise customers and processes millions to billions of real-time requests. The architecture is serious: event streaming for real-time data pipelines, batch processing workloads running alongside live transaction flows, and multi-tenant enterprise-grade reliability expectations across every product.

You will design and operate the platform infrastructure that underpins all of it — scaling horizontally as each new acquisition joins the portfolio, without proportionally scaling cost, complexity, or headcount.

What You Will Own

Platform Architecture

• Full architectural ownership of the non-AWS toolchain: CI/CD, observability, event streaming, automation, secrets, and deployment infrastructure
• Define, build, and enforce platform standards across portfolio products
• Terraform IaC for all infrastructure — nothing provisioned manually, everything versioned and reviewed
• Self-service developer platform so product teams ship without waiting on platform

Event Streaming & Pipeline Infrastructure

• Own the event streaming architecture, operational standards, and health monitoring across all products using real-time pipelines
• Design and maintain batch processing infrastructure alongside live event flows
• Ensure pipeline reliability, throughput, and cost are actively managed at scale

CI/CD & Deployment

• Build and maintain CI/CD pipelines (GitHub Actions) across all portfolio products
• Automate triage and retry logic for known failure classes — flaky tests, dependency timeouts, OOM kills — so engineers are only paged for genuinely novel failures
• Deployment standards: release management, rollback mechanisms, canary and blue-green patterns where justified

Observability & Reliability

• Own the full observability stack: Grafana, Prometheus, and Loki across all products
• SLOs and error budgets defined per product; reliability tracked consistently
• Build alerting that correlates signals and surfaces diagnostic context alongside notifications — so on-call engineers arrive at an incident with hypotheses, not a blank screen
• Incident response: on-call design, escalation playbooks, post-mortem facilitation
• Automated remediation scoped to safe, idempotent actions — container restarts, ECS task scaling, known rollback patterns; novel or ambiguous failures escalate to a human with full context attached

Acquisition Onboarding

• Platform audit and gap analysis for every new acquisition — assessing CI/CD maturity, IaC coverage, observability gaps, and security posture
• Migration plan and execution for each portfolio company joining the platform — sequenced to avoid disrupting live operations
• Target: full platform integration within a defined window per acquisition

A Note on Automation

Where automation is safe and failure modes are well understood — routine provisioning, known CI/CD failure classes, secrets rotation, cost anomaly flagging — aggressive automation is expected. Where automation would act on ambiguous signals or carry significant blast radius, human judgement stays in the loop. The goal is to reduce toil on solved problems, not to automate decisions that require engineering expertise.

Platform Stack

Area Stack / Standard IaC Terraform OSS / OpenTofu CI/CD GitHub Actions Event Streaming Architecture and tooling chosen for the workload Observability Grafana, Prometheus, Loki Log Management AWS CloudWatch, Grafana Loki Incident Management OpsGenie (startup tier) or Better Uptime Secrets AWS Secrets Manager / HashiCorp Vault OSS Containers ECS (default), EKS only where justified Cost Monitoring AWS Cost Explorer with custom dashboards What We’re Looking For

• 8–12 years in platform engineering, DevOps, or SRE — with clear evidence of increasing ownership over time
• Strong Terraform depth across multi-environment, multi-account setups
• CI/CD ownership across a multi-product environment with GitHub Actions
• Experience with event streaming infrastructure at production scale — design, operations, reliability, and cost management
• Hands-on Grafana, Prometheus, and Loki in production
• AWS operational depth: ECS, EKS, RDS, IAM, VPC, CloudWatch, Cost Explorer
• SRE fundamentals: SLOs, error budgets, on-call design, post-mortem culture
• Acquisition or greenfield platform integration experience strongly preferred

How You Work

• Comfortable operating across multiple products simultaneously — context-switching without dropping standards
• Cost-efficiency instinct — you optimise spend as a habit, not as a project
• You treat automation as a tool for eliminating toil, not a substitute for engineering judgement
• You document decisions, enforce standards through code, and build platforms that other engineers find intuitive to use

Why This Role

The platform function is being built from the ground up. You will have architectural ownership of the entire non-AWS platform layer across a growing portfolio of enterprise SaaS products, with the freedom — and responsibility — to build the reliability and delivery culture of the organisation.

This is not a role that inherits someone else’s decisions and maintains them. Every major architectural choice is still to be made. If you want to build something that lasts and that other engineers depend on, this is the role.

About the Role

We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies. 

Domains & Responsibilities 

Frontend Development 

• Build responsive and user-friendly web interfaces  
• Translate UI/UX designs into functional applications  
• Optimize performance and ensure cross-browser compatibility  

 Backend Development 

• Develop APIs and server-side logic  
• Work with databases and data storage solutions  
• Ensure application security and performance  

 DevOps 

• Assist in CI/CD pipeline setup and automation  
• Manage deployments and cloud infrastructure  
• Monitor system performance and reliability  

 AI / Machine Learning 

• Develop and train ML models  
• Work on NLP, automation, or AI-driven features  
• Analyze datasets and evaluate model performance  

 Data Engineering 

• Build and maintain data pipelines (ETL/ELT)  
• Ensure data quality and availability  
• Work with large datasets and optimize data workflows  

 Required Skills (Any Domain) 

• Frontend: HTML, CSS, JavaScript, React/Vue/Angular  
• Backend: Node.js / Python / Java / PHP, APIs, databases  
• DevOps: Linux, Git, CI/CD basics, cloud fundamentals  
• AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn  
• Data Engineering: SQL, Python, data processing concepts  

 Good to Have 

• Knowledge of Git and version control  
• Basic understanding of cloud platforms (AWS/Azure/GCP)  
• Problem-solving mindset and willingness to learn  
• Exposure to real-world or academic projects  

 Who Should Apply 

• Students or recent graduates in Computer Science, IT, or related fields  
• Candidates with strong interest in any of the above domains  
• Self-learners with project experience are highly encouraged  

 Internship Details 

• Duration: 3–6 months  
• Mode: Remote  
• Certificate + PPO (Pre-Placement Offer) based on performance  

 What You’ll Gain 

• Hands-on experience with real projects  
• Mentorship from experienced professionals  
• Exposure to industry tools and workflows  
• Opportunity to convert to a full-time role 

Euphoric Thought Technologies is a specialized technology firm focused on building high-impact digital solutions at the intersection of spatial intelligence and advanced computing. We operate primarily within the geospatial analytics and enterprise software sectors, delivering scalable platforms that transform complex data into actionable insights for global clients. Our culture is built on technical rigor, collaborative problem-solving, and a commitment to engineering excellence, providing a high-growth environment for engineers who thrive on solving non-trivial architectural challenges.

Role Overview:

As a Tech Lead Consultant, you will spearhead the design and implementation of sophisticated systems that integrate AI-driven analytics with large-scale GIS data. You will act as the primary technical bridge between our engineering team and key stakeholders, ensuring that our full-stack architecture remains robust, secure, and performant. Your day-to-day will involve hands-on coding, architectural decision-making, and mentoring team members to deliver high-quality software that directly influences our clients' operational efficiency and strategic decision-making processes.

Key Responsibilities:

• Architect and develop end-to-end full-stack applications that seamlessly integrate complex GIS data layers to provide intuitive user experiences.
• Design and deploy AI/ML models into production environments to automate spatial data processing and enhance predictive accuracy for end-users.
• Establish and maintain CI/CD pipelines and cloud infrastructure to ensure high availability, scalability, and security of our software delivery lifecycle.
• Lead technical discussions with cross-functional teams to translate complex business requirements into modular, maintainable, and efficient codebases.
• Optimize system performance by identifying bottlenecks in data processing and implementing scalable solutions that handle high-volume geospatial datasets.
• Mentor junior developers by conducting code reviews and promoting best practices in software engineering, testing, and documentation.

Required Skillset:

• Demonstrated expertise in full-stack development using modern frameworks, with a strong ability to build responsive and scalable web applications.
• Proficient in working with GIS technologies and spatial databases, including the ability to manipulate and visualize complex geographic datasets.
• Hands-on experience in integrating AI and machine learning workflows into production-grade software applications.
• Strong command of DevOps practices, including containerization, orchestration, and cloud infrastructure management to ensure seamless deployment cycles.
• Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders and lead collaborative team efforts.
• Proven ability to operate effectively in a fast-paced, hybrid work environment based in Bangalore, balancing independent problem-solving with team-oriented project delivery.
• Minimum of 6 to 7 years of professional experience in software engineering, with a track record of delivering complex techologies

Contract Job Position - AI Architect / AI Tech Lead

Contract Term - Max 3 -6 Months

Looking For immediate joiners Only

Remote Opportunity

Hands on expereince in AI

Must have experinence in Python

Expereince in LangGraph / Azure AI / Azure Foundry exposure

Must have Ability to provide technical leadership and solution direction

We are seeking a high-caliber Senior Full-Stack Engineer to lead the design, development, and deployment of our next-generation intelligent applications. In this role, you will bridge the gap between robust full-stack architecture and smart artificial intelligence integrations. You will be responsible for building scalable Node.js microservices, crafting intuitive React interfaces, and embedding AI capabilities (such as LLM APIs, autonomous agents, and smart workflows) to solve complex user problems.

As a senior member of the team, you will champion technical excellence, mentor junior developers, and influence our product roadmap.

Key Responsibilities:

AI Integration & Engineering

• Architect and implement backend systems that interface with Large Language Models (LLMs) and other AI services via APIs (e.g., OpenAI, Anthropic, or custom internal model endpoints).
• Build middleware to handle prompt engineering, context orchestration, and structural parsing of AI responses into application logic.
• Implement guardrails, caching layers, rate-limiting, and evaluation metrics for AI model outputs to ensure reliability, security, and cost-efficiency.
• Stay up-to-date with emerging generative AI patterns, model capabilities, and integration techniques to drive product innovation.

Full-Stack Development

• Backend: Build, scale, and maintain highly performant, secure, and production-ready RESTful APIs and GraphQL services using Node.js (TypeScript / Express).
• Frontend: Develop responsive, state-managed, and visually seamless user interfaces using React.js and modern state management libraries (e.g., Redux Toolkit, Zustand, React Query).
• Optimize application performance across the stack—from database query optimization to frontend rendering bottlenecks.

Architecture & Leadership

• Lead architectural decisions, promoting modular design, code reusability, and scalable system infrastructure.
• Enforce high engineering standards through rigorous code reviews, automated testing (unit, integration, E2E), and comprehensive documentation.
• Mentor and coach junior and mid-level engineers, fostering a culture of continuous learning and technical growth.
• Work closely with Product Managers, UX Designers, and stakeholders to translate ambitious product visions into concrete technical execution.
• 
  

Technical Skills & Qualifications

Required Experience

• Experience: 5+ years of professional software development experience, with a proven track record of shipping production-grade SaaS applications.
• Node.js Ecosystem: Deep expertise in backend development using Node.js and TypeScript, including asynchronous programming, event-driven architecture, and microservices.
• React Ecosystem: Advanced proficiency in React, hooks, state management, and modern build tools (Vite, Webpack).
• AI Practice: 1–2+ years of practical experience integrating LLM APIs and cognitive workflows into customer-facing applications.
• Databases: Strong proficiency with relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB).
• Cloud & DevOps: Familiarity with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD pipelines.

Soft Skills

• Exceptional problem-solving skills and a proactive "ownership" mindset.
• Strong communication skills, with the ability to explain complex technical or AI concepts to non-technical stakeholders.
• Proven ability to thrive in a fast-paced, iterative environment.

Job Location: Gurgaon/Noida

Current Work Mode: Hybrid

Work Timings: AEST Timings

About the Role

We are looking for high-calibre Frontend Engineers with strong expertise in React or Angular to join a fast-paced branding and product experience initiative. This role will focus on delivering a premium UI/UX transformation, including a dashboard uplift, within a tight timeline.

This is a hands-on role suited for engineers who thrive in high-impact, fast-execution environments and can take ownership from concept to delivery.

Key Responsibilities

• Build and enhance modern, scalable front-end applications using React or Angular
• Drive the branding implementation across web interfaces and dashboards
• Collaborate closely with design, product, and backend teams
• Contribute to dashboard improvements, performance optimization, and usability enhancements
• Integrate front-end components with backend services (including .NET-based APIs)
• Leverage AI tools (e.g., Claude, ChatGPT, GitHub Copilot) to improve productivity, code quality, and development speed
• Ensure high standards of code quality, responsiveness, and cross-browser compatibility

Required Skills & Experience

• Strong hands-on experience with React.js or Angular (either is mandatory)
• Solid understanding of HTML, CSS, JavaScript/TypeScript
• Experience building data-driven dashboards and UI-heavy applications
• Working knowledge of .NET / C# backend integration
• Familiarity with or openness to using AI-assisted development tools (e.g., Claude, Copilot, ChatGPT)
• Strong eye for design, layout, and user experience
• Ability to work in fast-paced, deadline-driven environments

Nice to Have

• Experience with design systems or branding projects
• Exposure to performance optimization and front-end architecture
• Experience working in agile/sprint-based delivery models

What We’re Looking For

• Engineers who take ownership and move fast
• Strong problem-solvers with attention to detail
• Comfortable leveraging modern tools, including AI, to accelerate delivery
• Clear communicators who can collaborate across teams
• Comfortable working under tight timelines with high expectations

Why Join

• Opportunity to work on a high-visibility branding initiative
• Fast-paced environment with real impact
• Collaborative and outcome-driven team

A BIT ABOUT US

Appknox is a leading AI-native mobile application security platform trusted by enterprises around the world. Recognized by Gartner and G2, Appknox helps organizations secure mobile applications throughout their lifecycle through automated security testing, continuous monitoring, and actionable intelligence.

Headquartered in Singapore with engineering based in Bengaluru, Appknox serves customers across North America, the Middle East, Southeast Asia, Japan, and India. Our customers include Fortune 500 companies, governments, financial institutions, and digital-first enterprises that rely on Appknox to secure their mobile ecosystem.

We are a profitable, fast-growing B2B SaaS company with a highly collaborative culture and ambitious plans to shape the future of application security in the AI era.

The Opportunity

As Appknox evolves from a mobile application security platform into an AI-native application security company, we are looking for a Senior Product Marketing Manager to lead positioning, go-to-market execution, sales enablement, competitive intelligence, and customer insights across our product portfolio.

This role sits at the intersection of Product, Sales, Customer Success, and Marketing and plays a critical role in defining how Appknox is perceived by customers and the market.

You will own the narratives behind our products, influence category creation, help shape launches, and become the voice of the market inside Appknox.

This role is designed for someone who aspires to build and lead a world-class product marketing function over time, with a clear growth path toward Director of Product Marketing.

Products/Capabilities You Will Support

• Appknox Platform
• Storeknox
• KnoxIQ
• Future AI-driven products and capabilities

Key Responsibilities

Positioning and Messaging

• Own positioning and messaging across the Appknox product portfolio.
• Translate technical capabilities into compelling value propositions for security, engineering, and executive buyers.
• Continuously refine messaging based on customer feedback and market dynamics.

Product Launches and Go-To-Market

• Lead cross-functional go-to-market initiatives and product launches.
• Coordinate with Product, Sales, Customer Success, and Marketing teams to drive successful adoption.
• Develop launch plans, messaging frameworks, enablement assets, and campaign support.

Sales Enablement

• Build and maintain battle cards, pitch decks, competitive comparisons, use cases, and customer stories.
• Partner closely with sales teams to improve messaging consistency and win rates.
• Conduct enablement sessions for internal teams and support strategic deals when required.

Customer and Market Insights

• Engage directly with customers and prospects to understand pain points and validate messaging.
• Conduct customer interviews, gather feedback, and identify emerging use cases.
• Develop case studies, proof points, and customer success narratives.

Competitive Intelligence

• Monitor competitors and emerging trends across cybersecurity, AI, DevSecOps, and software development.
• Develop and maintain competitive positioning and battle cards.
• Identify market opportunities and strategic gaps.

Category and Thought Leadership

• Help establish Appknox's leadership in AI-native application security.
• Contribute to thought leadership themes around AI, mobile security, software supply chain risks, and emerging AppSec trends.
• Support industry events, analyst interactions, and strategic communications.

Team Leadership

• Mentor and guide content and product marketing resources.
• Help establish repeatable product marketing processes and frameworks.
• Contribute to building a scalable product marketing function.

AI and Modern Marketing

• Leverage AI tools and modern workflows to accelerate research, content development, competitive intelligence, and campaign analysis.
• Understand how buyers increasingly discover and evaluate vendors through AI-assisted channels and ensure Appknox maintains strong visibility and credibility.

What We are Looking For

Required Experience

• 5-8 years of experience in Product Marketing, Solutions Marketing, Technical Marketing, or related GTM roles within B2B SaaS.
• Strong experience in positioning, messaging, product launches, and sales enablement.
• Exceptional written and verbal communication skills.
• Experience collaborating with Product, Sales, Customer Success, and Marketing teams.
• Hands-on experience using AI tools such as ChatGPT, Claude, Gemini, or Perplexity to improve productivity and workflows.
• Strong project management and stakeholder management skills.
• Familiarity with marketing automation and analytics platforms such as HubSpot.

Strongly Preferred

• Experience in Cybersecurity, DevSecOps, developer tools, cloud security, AI infrastructure, or other technical SaaS categories.
• Familiarity with application security or modern software development practices.
• Experience supporting enterprise sales motions and technical buyers.
• Experience building competitive intelligence programs.

Work Expectations

First 90 Days

• Build a deep understanding of products, customers, and competitors.
• Refresh core messaging and sales enablement assets.
• Establish strong relationships across Product, Sales, and Customer Success teams.

Within 6 Months

• Lead major launches and go-to-market initiatives.
• Establish repeatable competitive intelligence and customer insight processes.
• Improve sales enablement and messaging consistency.

Within 12 Months

• Become the voice of the market inside Appknox.
• Influence product strategy and category narrative.
• Mentor content marketing resources and help scale the product marketing function.
• Play a key role in establishing Appknox as a leader in AI-native application security.

Personality traits we admire:-

• Strategic thinker with strong execution skills.
• Curious, commercially minded, and customer obsessed.
• Comfortable with ambiguity and fast-moving environments.
• Strong collaborator who can influence cross-functional teams.
• Excited by AI and emerging technologies.
• Eager to build and grow with the company over the long term.

Interview Process

Round 1: Hiring Manager

Round 2: Functional Case Study

Round 3: Product + Sales Panel

Round 4: CEO Discussion

Round 5: HR & Compensation

Compensation and Benefits

• Competitive compensation and ESOP opportunities.
• Flexible work environment.
• Comprehensive health insurance for employees and their families.
• Opportunity to work with global customers and cutting-edge AI and cybersecurity technologies.

Why Join Appknox?

Ownership and Impact

Shape how a global cybersecurity company is positioned in the market and influence strategic decisions across the business.

Growth Opportunity

This role offers a clear path toward building and leading the product marketing function as Appknox scales.

High Visibility

Work closely with company leadership and collaborate across Product, Engineering, Sales, and Customer Success.

Continuous Learning

We believe in experimentation, curiosity, and helping people grow beyond their current role.

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bringing their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Our Core Value

• Client Success: Our clients’ success is our success
• Extreme Ownership: We own our work and its outcomes fully
• Proactive Collaboration: Teamwork elevates us all 
• Quality with Pragmatism: We aim for excellence with a focus on practical solutions
• Effective Feedback: Honest, constructive feedback fosters improvement
• Proactive Collaboration: Teamwork elevates us all

Experience Level

​We're looking for a seasoned Product Manager with at least 4 years of experience building user-centric products. You should be a "product craftsperson" who can demonstrate a history of driving tangible, impactful results

Role Overview 

As a Product Manager, you will be responsible for the entire product lifecycle, from initial concept to launch and beyond. You'll act as the central hub, working with stakeholders and clients to define product roadmaps and success metrics.

A key part of your role will be to deeply understand customer and business needs and translate them into clear, actionable requirements for the development team. You will own the product backlog, analyze performance data to identify opportunities, and partner closely with design and engineering to ensure successful execution

Key Responsibilities

• Product Strategy & Execution: You will define and document product requirements, create and maintain a prioritized backlog, and ensure business needs are met throughout the design, development, and delivery phases.
• Data-Driven Decision Making: You will use your strong analytical and problem-solving skills to gather, analyze, and interpret data to prove or disprove hypotheses and guide product evolution. Expertise in Excel and SQL is essential for this.
• Stakeholder & Client Management: You will communicate with internal and external teams, including clients, to manage expectations, present product status, and gather feedback. Strong consultative, listening, and presentation skills are crucial.
• Cross-Functional Collaboration: You will coordinate with various teams—including design, engineering, sales, and support—to build, manage, and evolve the product. A solid understanding of software engineering concepts will help you drive product strategy effectively

Requirements

What We're Looking For

• Product Mindset: You'll be a central figure, coordinating with various teams to build and support the product
• Agile Experience: You must have experience working within Agile and Extreme Programming methodologies in a continuous deployment environment
• Technical Acumen: You should have a solid understanding of software engineering concepts to help drive product strategy
• Exceptional Communication: You should have strong consultative, listening, and presentation skills to effectively communicate with clients and stakeholders
• Analytical and Problem-Solving Skills: We need someone with a strong ability to understand complex business environments and to dive into data using Excel and SQL to derive meaningful insights.
• Attention to Detail: You will need to create clear and precise product documentation and assist in the sales and pre-sales process

Benefits

What We Offer 

• Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.  
• Conference Talks Sponsorship: Amplify your voice! If you’re speaking at a conference, we’ll fully sponsor and support your talk. 
• Cutting-Edge Projects: Work on exciting projects with the latest AI technologies   
• Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance. 
• Comprehensive Medical & Term Insurance: Full coverage for you and your family’s peace of mind. 
• And More: Extra perks to support your well-being and professional growth. 

Work Environment 

• Remote-First Culture: At Incubyte, we thrive on a culture of structured flexibility — while you have control over where and how you work, everyone commits to a consistent rhythm that supports their team during core working hours for smooth collaboration and timely project delivery. By striking the perfect balance between freedom and responsibility, we enable ourselves to deliver high-quality standards that our customers recognize us by. With asynchronous tools and a push for active participation, we foster a vibrant, hands-on environment where each team member’s engagement and contributions drive impactful results. 
• Work-In-Person: Twice a year, we come together for two-week sprints to collaborate in person, foster stronger team bonds, and align on goals. Additionally, we host an annual retreat to recharge and connect as a team. All travel expenses are covered. 
• Proactive Collaboration: Collaboration is central to our work. Through daily pair programming sessions, we focus on mentorship, continuous learning, and shared problem-solving. This hands-on approach keeps us innovative and aligned as a team. 

Incubyte is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code.

The mandatory requirement for this role is hands-on production experience shipping LLM-powered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage.

The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy.

You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent Architecture

Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions.

Make and revisit architectural decisions on single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair sub-agents.

Code Generation Pipeline

Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit.

Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies.

Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-Repair Loop

Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation.

This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context Management

Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval.

Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes.

Own token budgeting and prompt caching strategy.

Prompt Engineering as a Discipline

Own the system prompt and per-task prompt variants (new feature, bug fix, styling change).

Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites.

Version prompts like code with changelogs and rollback capability.

Evaluation and Quality Measurement

Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant.

Define regression gates that block quality-degrading changes from shipping.

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable at this level.

Model Strategy and Cost

Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation.

Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection.

Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and Reliability of Agent Behaviour

Defend against prompt injection from user content and fetched web content.

Ensure secrets never appear in generated client code.

Define what the agent's tools may and may not do in collaboration with the platform team.

Contribute to output moderation and abuse-pattern awareness.

Mentorship and Engineering Standards

Run code reviews, define engineering conventions for AI work, and raise the engineering bar across the AI team.

Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on Production Ownership of LLM-Powered Systems with Agent Architectures (Mandatory)

Must have personally shipped and operated at least one complex production AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI systems.

Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python Proficiency and Service Development

Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging.

Not notebook-only.

Depth Across LLM APIs and Agent Systems

Production experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, Systematic Evaluation Practice - Non-Negotiable

Must have built evaluation harnesses that gate production releases, not ad-hoc testing.

Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval.

Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost Discipline for Production AI

Track record of measurable cost optimisation on production AI features.

Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS Working Knowledge

Hands-on with EC2, S3, IAM, and Docker.

Comfort with CI/CD workflows and deploying AI services.

Awareness of LLM Security Failure Modes

Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to Have

• Experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work
• MCP server authoring
• Open-source AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

🚀 Hiring | AI Video Producer | Full-Time | 📍 Bengaluru

About the company:

RPlus Analytics is a UK-based company established in 2012, headquartered in Preston, UK, with an office in Bengaluru. We are into Data Analytics and Artificial Intelligence and are expanding into AI-powered content and media production.

Role Responsibilities

• Manage end-to-end AI video production workflows

• Coordinate editors, designers, and AI creators to ensure timely delivery

• Review video output and maintain quality standards

• Build and optimize AI video production processes

• Convert briefs, scripts, and ideas into clear execution plans

• Manage project timelines, priorities, and deliverables

• Ensure consistency in storytelling, pacing, and visual quality

• Create and edit videos when required

Requirements

• Strong understanding of AI-powered video production workflows

• Hands-on experience with ChatGPT, Claude, Gemini, ElevenLabs, HeyGen, Nano Banana, and Google Flow

• Proficient in Adobe Premiere Pro and After Effects

• Experience managing creative projects or teams

• Strong prompting, communication, and project management skills

• Good understanding of storytelling, content strategy, and creative execution

• Proactive, organized, and execution-focused

📍 Only Bengaluru-based candidates or candidates willing to relocate may apply.

Experience Required: 3-8 Years

No. of vacancies: 2

Job Type: Full Time

Vacancy Role: WFO

Job Category: Development

Job Description

We are looking for a Senior Python Developer to build and scale a production-grade AI-powered platform focused on image understanding, scene reconstruction, and automated media generation. This is a backend-heavy role requiring strong expertise in system design, asynchronous processing, and scalable API development. You will work closely with AI/ML, frontend, and DevOps teams to deliver high-performance systems that power object detection, segmentation, and 3D reconstruction pipelines.

Roles & Responsibilities

• Design and develop scalable backend services and APIs using FastAPI
• Build modular, maintainable systems with clear service contracts and abstractions
• Implement asynchronous processing pipelines for compute-heavy AI workloads
• Design and manage job queues (Celery, RQ, or similar) and integrate Redis
• Handle long-running and GPU-based tasks
• Work with PostgreSQL and integrate object storage (S3 or equivalent)
• Integrate and productionize ML models
• Optimize inference pipelines for latency, batching, and throughput
• Ensure system reliability with retries, fallbacks, and monitoring
• Collaborate with Data Science, Frontend, and DevOps team

Qualifications

• 3+ years of Python development experience
• Hands-on experience with FastAPI and REST APIs
• Strong understanding of async programming and scalable systems
• Experience with Redis and queue systems (Celery, RQ, Kafka)
• Strong PostgreSQL experience
• Experience with Docker (mandatory); Kubernetes is a plus
• Familiarity with AWS, GCP, or Azure
• Exposure to AI/ML pipelines (YOLO, DETR, SAM, etc.)
• Experience deploying ML models in production
• Understanding of GPU workloads and optimization
• Background in image/video processing or real-time systems
• Strong problem-solving and system design mindset
• Ability to handle real-world scale and unstructured data
• Experience in AI-integrated backend system

ey Responsibilities

✅ Architect, develop, and deploy AI-powered enterprise applications and intelligent automation solutions.

✅ Translate business requirements into scalable, secure, and production-ready AI systems.

✅ Build and integrate AI/ML capabilities into enterprise platforms and digital products.

✅ Design cloud-native applications leveraging AWS, Azure, or Google Cloud Platform (GCP).

✅ Develop APIs, microservices, distributed systems, and modern integration frameworks.

✅ Implement DevOps best practices, CI/CD automation, and engineering lifecycle processes.

✅ Utilize AI-assisted development tools to improve productivity and accelerate delivery.

✅ Ensure compliance with security standards, governance frameworks, and data privacy requirements.

✅ Collaborate with cross-functional teams, product stakeholders, and business leaders to deliver innovative solutions.

Required Skills

🔹 5+ years of experience in Software Engineering, Solution Architecture, or Enterprise Application Development.

🔹 Strong programming expertise in *Python, Java, TypeScript, or Go*.

🔹 Hands-on experience integrating AI/ML solutions into enterprise applications.

🔹 Experience with cloud platforms such as *AWS, Azure, or GCP*.

🔹 Strong understanding of *APIs, Microservices, Distributed Systems, and Containerization*.

🔹 Experience with *Agile methodologies, DevOps practices, and CI/CD pipelines*.

🔹 Knowledge of secure software development and enterprise governance standards.

🔹 Excellent problem-solving, communication, and stakeholder management skills.

Good to Have

⭐ Experience with *Machine Learning, Generative AI, Intelligent Automation, or LLM-based solutions*.

⭐ Knowledge of *MLOps, Prompt Engineering, Model Monitoring, AI Validation, and LLM Integration*.

⭐ Experience in *Banking, FinTech, Payments, or other regulated industries*.

⭐ Advanced degree in Computer Science, Artificial Intelligence, Engineering, or related fields.

⭐ Certifications such as *AWS/Azure/GCP Solutions Architect, TOGAF, CKA, or Lean Six Sigma*.

⭐ Experience leading engineering modernization, transformation, or automation initiatives.

⭐ Contributions to open-source projects and a passion for emerging technologies.

Senior AI Engineer — .NET / C# 📍 Coimbatore / Chennai · Hybrid | 6+ Years | Immediate – 15 Days Notice

About Techjays

We build production-grade AI systems for enterprise clients across the US, UK, and Australia. As an Anthropic partner, we work at the frontier of AI — not experiments, but real systems that ship and scale. Our team includes engineers from Google, Akamai, NetApp, and Capgemini.

What You'll Do

• Build and ship .NET applications for enterprise clients — from design to deployment
• Integrate LLM APIs (Claude, OpenAI, Azure OpenAI) into production .NET services
• Use Claude Code daily for coding, debugging, and code reviews
• Build React UIs from wireframes to production
• Own SQL Server architecture, optimisation, and EF migrations
• Lead code reviews and mentor the team
• Work with PMs and Delivery Managers to hit sprint goals

What We're Looking For

• 6+ years in .NET — C#, ASP.NET Core, Entity Framework
• Hands-on with Claude Code or similar AI coding tools
• Strong Azure — App Services, Functions, Service Bus, Cosmos DB, DevOps
• Solid React — hooks, state management, component architecture
• Expert SQL Server skills
• Experience with RESTful and GraphQL APIs at scale
• Good grasp of Clean Architecture, DDD, CQRS, microservices

Bonus: Python, Docker, vector databases, Semantic Kernel, SignalR, GCP/AWS

Why Join

• Greenfield projects — you design the architecture
• Anthropic partner — early access to frontier AI tools
• Global client exposure with real business impact
• Team of engineers who've built at scale

Job description:

Interview Venue: H-28, ARV Park, Sector 63, Noida, Uttar Pradesh 201301

Job location: Noida

Experience: 1-2 years

Education: B.Tech or MCA

The procedure for the interview will be as follows:

• 1st Round - Machine Round
• 2nd Round- Communication Round
• 3rd Round – Assignment Round
• 4th Round - HR Round

Job Description:

• Profile: AI/ML Engineer
• Experience: 1-2 yrs
• Qualification : B.Tech/MCA
• Working Days: 5
• Job Nature: Permanent

Roles And Responsibilities:

1) Python Proficiency and API Integration:

Demonstrate strong proficiency in Python programming language.

Design and implement scalable, efficient, and maintainable code for machine learning applications.

Integrate machine learning models with APIs to facilitate seamless communication between different software components.

2) Machine Learning Model Deployment, Training, and Performance:

Develop and deploy machine learning models for real-world applications.

Conduct model training, optimization, and performance evaluation.

Collaborate with cross-functional teams to ensure the successful integration of machine learning solutions into production systems.

3) Large Language Model Understanding and Integration:

Possess a deep understanding of large language models (LLMs) and their applications.

Integrate LLMs into existing systems and workflows to enhance natural language processing capabilities.

Stay abreast of the latest advancements in large language models and contribute insights to the team.

4) Langchain and RAG-Based Systems (e.g., LLamaindex):

Familiarity with Langchain and RAG-based systems, such as LLamaindex, will be a significant advantage.

Work on the design and implementation of systems that leverage Langchain and RAG-based approaches for enhanced performance and functionality.

5) LLM Integration with Vector Databases (e.g., Pinecone):

Experience in integrating large language models with vector databases, such as Pinecone, for efficient storage and retrieval of information.

Optimize the integration of LLMs with vector databases to ensure high-performance and low-latency interactions.

6) Natural Language Processing (NLP):

Expertise in NLP techniques such as tokenization, named entity recognition, sentiment analysis, and language translation.

Experience with NLP libraries and frameworks like NLTK, SpaCy, Hugging Face Transformers

7) Computer Vision:

Proficiency in computer vision tasks such as image classification, object detection, segmentation, and image generation.

Experience with computer vision libraries like OpenCV, PIL, and frameworks like TensorFlow, PyTorch, and Keras.

8) Deep Learning:

Strong understanding of deep learning concepts and architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

Proficiency in using deep learning frameworks like TensorFlow, PyTorch, and Keras.

Experience with model optimization, hyperparameter tuning, and transfer learning.

9) Data Manipulation:

Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, and SciPy.

Proficiency in data cleaning, preprocessing, and augmentation techniques.

Perks&Benefits:

• Employees & Family Health Insurance, EPF & ESIC.
• Free late-night meal facility.
• Innumerable in house & outdoor party.
• Various compensations & bonuses.
• No dress Code.
• Festival Celebration.
• Employees' B'day celebration.

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Role Overview

MyOperator's platform handles billions of real-time interactions - cloud call centers, IVR flows, WhatsApp APIs, AI voicebots, and a unified communication suite. As Manager QA, you will own quality across this entire product surface: from defining the QA strategy and automation architecture to taking accountability for production escapes and release confidence.

This is not a sign-off role. You define what "good" looks like, build the systems to enforce it, and lead a team that treats quality as a product outcome, not a checkpoint. You will work directly with Engineering, Product, and DevOps to embed quality at every stage of the development lifecycle. If you've scaled automation frameworks, reduced defect escape rates measurably, and built QA cultures where the team doesn't wait to be told what to test, this role is built around you.

Key Responsibility Areas

• Own and enforce the quality bar across MyOperator's full product suite - Cloud Call Center, IVR & Call Flows, WhatsApp API, AI Voicebots, and Unified Communication Platform from sprint planning through production.
• Architect and scale automation frameworks across UI (Web/Mobile), REST and GraphQL APIs, and end-to-end integration flows; integrate these into CI/CD pipelines for continuous testing.
• Define, track, and improve quality metrics including defect escape rate, automation coverage percentage, test cycle time, flakiness rate, and Mean Time to Detect (MTTD).
• Lead performance and load testing strategies using JMeter, k6, or Locust to validate system behavior under production-scale traffic conditions.
• Drive Root Cause Analysis (RCA) for production incidents and implement systemic fixes to prevent recurrence, not just mitigation.
• Lead, mentor, and scale the QA team; set clear performance expectations, run regular calibrations, and build an ownership-driven, bias-for-action team culture.
• Establish and maintain release entry/exit criteria, test environment parity with production, and structured test data management processes.

Requirements - Must Have

• 5-8 years in QA with at least 2 years in a lead or ownership role managing a team of 3 or more.
• Prior experience with technologies like Telephony, VOIP, WebRTC, Voice Bots, Sockets, and WebSockets is a must-have.
• Hands-on experience in testing and quality assurance of applications/products involving UDP (User Datagram Protocol) communication, including validation of reliability, performance, and network-level troubleshooting.
• Hands-on expertise with one or more automation frameworks: Selenium, Cypress, Playwright, or Appium with a demonstrated ability to build or significantly scale a framework from the ground up.
• Proficiency in Python, Java, or JavaScript for writing and maintaining automation code.
• At least 2+ years of strong hands-on experience in API testing using Postman or RestAssured, and CI/CD integration using Jenkins, GitHub Actions, or GitLab CI.
• Documented track record on the resume (via explicitly stated metrics) demonstrating a quantifiable reduction in defect escape rates or improvement in automation coverage.
• Experience with performance/load testing tools (JMeter, k6, or Locust) in a real production context.

Requirements - Good to Have

• Prior experience at a SaaS, CPaaS, or Cloud Telephony company; understanding of SIP or IVR.
• Exposure to AWS, GCP, or Azure in the context of test environment management or deployment pipelines.
• Experience testing microservices and event-driven systems, including webhooks, async flows, and message queues.
• Familiarity with contract testing (Pact) or AI/ML-specific testing - chatbots, voicebots, NLP output validation.
• Knowledge of basic security testing principles, OWASP top 10, or chaos/resilience testing.

This profile is not for

• Someone whose primary mode (as inferred from past role descriptions) is purely reviewing test cases and delegating execution rather than building and owning the automation stack themselves.
• Someone who treats QA sign-off as the finish line—this role is accountable for customer experience, not just green test runs.
• Candidates lacking demonstrable, hands-on evidence of building automation frameworks in their profile; this role cannot be fulfilled by purely manual QA or strictly managerial profiles

About CNH

Connect and Heal (CNH) is a healthcare organization focused on transforming healthcare delivery through technology-enabled solutions, clinical excellence, and exceptional patient experiences. We build scalable digital platforms that support healthcare operations, patient engagement, telehealth, and enterprise healthcare services.

Role Summary

We are seeking a highly motivated Engineering Lead to drive the design, development, and delivery of scalable technology solutions that support CNH's business growth and healthcare operations. The role requires a strong blend of technical expertise, people leadership, architecture oversight, and execution excellence.

The Engineering Lead will lead engineering teams, collaborate with Product, Operations, Clinical, and Business stakeholders, and ensure delivery of high-quality, secure, and scalable products.

Key Responsibilities

Technical Leadership

• Lead the design, development, and deployment of scalable applications and platforms.
• Drive engineering best practices, coding standards, architecture reviews, and technical governance.
• Ensure system reliability, performance, security, and scalability.
• Evaluate and implement emerging technologies to improve product capabilities and engineering efficiency.

Team Leadership

• Build, mentor, and manage high-performing engineering teams.
• Conduct performance reviews, coaching, and career development discussions.
• Foster a culture of accountability, innovation, collaboration, and continuous learning.
• Support hiring and talent development initiatives.

Product & Delivery Management

• Partner with Product Managers and business stakeholders to translate business requirements into technical solutions.
• Drive sprint planning, prioritization, estimation, and delivery management.
• Ensure timely and high-quality execution of engineering roadmaps.
• Manage risks, dependencies, and technical debt effectively.

Stakeholder Management

• Collaborate with Operations, Clinical, Customer Success, and Business teams.
• Communicate project progress, risks, and outcomes to leadership.
• Support strategic initiatives through technology-driven solutions.

Quality & Compliance

• Ensure adherence to information security, data privacy, and healthcare compliance requirements.
• Establish monitoring, testing, and release management processes.
• Drive automation, observability, and operational excellence.

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, or related field.
• 8–12+ years of software engineering experience.
• 3–5+ years of experience leading engineering teams.
• Experience building and scaling enterprise-grade applications.

Technical Skills & Expertise

• Strong proficiency in modern programming languages such as Java, Python, Node.js, Golang, or .NET.
• Hands-on experience in designing and managing RESTful APIs, API Gateways, and Microservices Architecture.
• Strong knowledge of CI/CD Automation using tools such as Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar platforms.
• Experience in DevOps practices, including Infrastructure as Code (IaC), containerization (Docker), orchestration (Kubernetes), and cloud-native deployments.
• Expertise in cloud platforms such as AWS, Azure, or GCP.
• Experience implementing monitoring, logging, and observability solutions.
• Familiarity with modern databases, distributed systems, and high-availability architectures.
• Exposure to AI/ML tools, Generative AI solutions, LLMs, AI-assisted development tools (GitHub Copilot, Cursor, ChatGPT, etc.), and their integration into enterprise applications.
• Understanding of healthcare interoperability standards, APIs, and data security principles is desirable.

Additional Responsibilities

• Drive adoption of AI-powered engineering practices to improve developer productivity, code quality, and operational efficiency.
• Establish and maintain robust CI/CD pipelines to enable faster and more reliable software releases.
• Lead DevOps transformation initiatives, promoting automation, infrastructure scalability, and engineering excellence.
• Define and govern enterprise-wide API strategy, standards, security, and lifecycle management.
• Evaluate emerging technologies and AI innovations to support CNH's digital healthcare roadmap.

Preferred Candidate Profile

• 10–15 years of experience in software engineering, with 4–6 years in engineering leadership roles.
• Proven experience leading teams building cloud-native, API-first, AI-enabled platforms.
• Strong background in DevOps, CI/CD automation, platform engineering, and digital transformation initiatives.
• Experience managing engineering teams delivering mission-critical products at scale.

CNH offers an opportunity to build impactful healthcare technology solutions that improve access, quality, and patient outcomes while working with a passionate and mission-driven team.

Exp - 6-8.5 Yrs

Level - Assistant Manager

Skill - AI ML/Gen AI Engineer

Location - Hyderabad/ Bangalore / Gurgaon

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Design Engineer

We are hiring Design Engineers to own the interface layer of our products end to end.

You should be comfortable moving from rough ideas to shipped experiences. Sometimes that means working in Figma. Sometimes it means designing directly in code. We care less about the tool and more about clarity, speed, taste, and judgment.

You will work across SaaS products, AI workflows, and internal platform tooling. Everything the user sees and touches is yours.

We value people who can operate from principles instead of waiting for detailed specifications. We are looking for builders who think deeply about product, user experience, systems, and execution together.

What you will do

• Own features at the interface layer from idea to shipped product
• Design in Figma when it helps, design in code when it is faster
• Build interfaces and interactions that make it to production
• Contribute to and extend our cross-product design system
• Think through edge cases, empty states, onboarding flows, motion, responsiveness, and usability
• Work closely with engineers to ensure interactions feel intentional and performant
• Improve product quality through iteration, not just mockups

What you need

Experience

• 3-5 years building user-facing software across design, frontend, or product-oriented roles. Strong portfolios matter more than years.
• A portfolio with shipped work you can walk us through. Live products matter more than polished mockups.
• Experience working inside product companies preferred over pure agency environments.

Design

• Strong product and interaction design fundamentals
• Fluent in Figma: components, auto-layout, variants, prototyping, and design systems
• Good taste in typography, layout, spacing, color, and motion
• Ability to simplify complex workflows into intuitive interfaces

Technical capability

• Comfortable working in modern frontend codebases
• Able to prototype and build interfaces directly in code
• Familiar with responsive design, animations, accessibility, and frontend performance basics
• Comfortable reading code, debugging issues, and collaborating closely with engineers

AI-native workflow

• Uses AI tools fluently to explore, prototype, and accelerate implementation
• Treats AI as part of the workflow, not a separate discipline
• We care more about velocity and judgment than which tools you use

Communication

• Clear written and verbal communication
• Able to explain decisions, defend tradeoffs, and change direction when needed
• Comfortable working with ambiguity and shaping ideas collaboratively

What success looks like

• Faster iteration from idea to shipped product
• Less handoff overhead between design and engineering
• Interfaces that feel thoughtful, fast, and polished
• Better product consistency across surfaces
• Ability to move from concept to working prototype in days, not weeks

What we are not looking for

• Designers who only hand off mockups
• People who need every interaction fully specified before they can start building
• Pure visual designers disconnected from product and implementation realities

If “Design Engineer” is a new title to you, but this is already how you work, apply.

Job Description: AI/ML Engineer

Location: Gurgaon, Haryana, India

Position: AI/ML Engineer -Intern

Stipend: As per industry standards

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Key Responsibilities:

1. Model Development and Optimization:

• Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
• Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.

1. Advanced Data Engineering:

• Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
• Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.

1. Algorithm Research and Development:

• Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
• Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.

1. Deployment and MLOps:

• Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
• Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.

1. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

6. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

1.      7. Collaboration and Code Quality:

• Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
• Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.

     8.Monitoring and Maintenance:

• Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
• Implement feedback loops for model retraining based on real-time data and evolving application needs.

Required Skills, Qualification and Experience:

Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier       institutions.

• Technical Proficiency:
• Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
• Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
• Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
• Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
• Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and delivery.

About the Internship

Nexora Group is looking for passionate and innovative students interested in Artificial Intelligence (AI) and Machine Learning (ML). This internship offers an opportunity to work on real-world AI projects, explore machine learning techniques, and gain hands-on experience with emerging technologies that are transforming industries worldwide.

Interns will collaborate with mentors, work on practical assignments, and develop industry-relevant skills in AI, ML, data-driven decision-making, and intelligent systems.

Key Responsibilities

• Assist in developing and testing Machine Learning models.
• Work on AI-based applications and automation projects.
• Analyze datasets and prepare data for model training.
• Research emerging AI and Machine Learning technologies.
• Evaluate model performance and improve accuracy.
• Create reports and documentation for assigned projects.
• Participate in project discussions, training sessions, and team meetings.
• Support the development of innovative AI-driven solutions.

Required Skills

• Basic knowledge of Python programming.
• Understanding of Artificial Intelligence and Machine Learning concepts.
• Familiarity with data analysis and statistics.
• Knowledge of Machine Learning libraries such as Scikit-learn, TensorFlow, or PyTorch is a plus.
• Strong analytical and problem-solving skills.
• Ability to learn new technologies quickly.
• Good communication and teamwork skills.

Eligibility

• B.Tech, M.Tech, BCA, MCA, B.Sc., M.Sc., or related disciplines.
• Students pursuing Computer Science, Artificial Intelligence, Data Science, Information Technology, Mathematics, or related fields.
• Freshers and recent graduates are encouraged to apply.

What You Will Learn

✅ Artificial Intelligence Fundamentals

✅ Machine Learning Algorithms

✅ Data Preprocessing & Model Training

✅ Generative AI Concepts

✅ Predictive Analytics

✅ AI Project Development

✅ Industry-Oriented Problem Solving

Benefits

✅ Internship Completion Certificate

✅ Letter of Recommendation (Performance-Based)

✅ Hands-on AI & ML Project Experience

✅ Professional Mentorship & Guidance

✅ Resume & LinkedIn Profile Enhancement

✅ Portfolio Development Support

✅ Exposure to Real-World AI Applications