50+ Artificial Intelligence (AI) Jobs in India

We are looking for a trainer to deliver an advanced AI Training for Oracle Services, specifically leveraging the licensed tool Claude.

The scope of the training should cover the following topics:

• EBS Form Designing using AI
• APEX Form Designing using AI
• Report Generation (.rdf, Fusion BIP) using AI
• Report Bursting using AI
• PaaS/VBCS Form Personalization using AI tools
• Fusion Form Customization using Groovy Script and AI
• EBS to Fusion Form Conversion
• APEX to Fusion Form Conversion

The expected number of participants is 15, and the training is preferred to be conducted offline.

About the Role

Qiro is building the infrastructure powering the next generation of underwriting, credit analytics, and tokenized private credit markets.

We are looking for a Tech Lead — Credit & Blockchain Infrastructure to lead the architecture and execution of our core systems — spanning underwriting engines, credit lifecycle workflows, and blockchain-integrated capital markets infrastructure.

This is not a feature delivery role. This is a system ownership role.

You will be hands-on while leading a growing engineering team in a fast-moving, in-office environment.

What You’ll Own

• Define and evolve the long-term technical vision for Qiro’s programmable credit infrastructure — architecting cohesive systems that unify underwriting engines, credit lifecycle workflows, and tokenized capital markets.
• Own the end-to-end architecture of scalable backend platforms (Python and/or TypeScript), establishing clear boundaries between risk logic, platform APIs, and smart contract integrations while ensuring scalability, auditability, and extensibility.
• Build and standardize configurable underwriting and credit lifecycle systems — from onboarding and drawdown orchestration to repayment waterfalls and early closures — ensuring deterministic, traceable financial state transitions at institutional scale.
• Set integration and infrastructure standards across API contracts, data models, validation layers, and event-driven architectures, enabling reliable synchronization between off-chain services and on-chain contracts.
• Architect secure and resilient blockchain integrations, including wallet interactions, capital flow coordination, and observable on-chain/off-chain state reconciliation.
• Lead high-impact, cross-product initiatives from RFC and system design through production launch — validating architectural decisions, aligning stakeholders, and delivering measurable improvements in reliability, performance, and developer velocity.
• Elevate reliability and operational excellence by defining SLOs, strengthening CI/CD and observability practices, reducing latency, and minimizing systemic risk in financial workflows.
• Build and scale the engineering organization — mentoring senior engineers, shaping hiring standards, driving architecture reviews, and fostering a culture of ownership, craftsmanship, and first-principles thinking.
• Partner closely with Product, Design, Security, and Operations to translate complex lending and capital market mechanics into simple, robust platform primitives.

Who You Are

• 6-8+ years of engineering experience, with 3+ years in technical leadership roles.
• Strong backend architecture experience in Python and/or TypeScript.
• Comfortable designing distributed systems and financial workflows.
• Experience building fintech, lending, underwriting, trading, or blockchain-integrated systems.
• Strong understanding of API design, state management, and data modeling.
• Able to navigate ambiguity and build 0→1 infrastructure.
• Hands-on builder who leads by writing production-grade code.

We Value

• Experience with underwriting engines or policy-driven decision systems.
• Exposure to smart contracts and blockchain integrations.
• Familiarity with PostgreSQL and event-driven architectures.
• Experience in early-stage or high-growth startups.
• Strong product thinking and ability to translate complex financial logic into scalable systems.

Why Join Qiro

• Lead the architecture of a programmable credit infrastructure platform.
• Join the founding technical leadership team.
• High autonomy and ownership — your decisions shape the company.
• In-office collaboration in Bangalore for speed and iteration.
• Competitive compensation and meaningful equity.

Our Culture

We operate with:

• First-principles thinking
• Technical craftsmanship
• High ownership
• Fast execution with long-term architectural discipline

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

Job Title:

DevOps / MLOps Engineer – GCP, Kubernetes, GPU Workloads, Python

Job Description

We are looking for an MLOps Engineer with 4–7 years of experience in cloud infrastructure, web application development, and ML pipeline deployment. The ideal candidate will manage GPU workloads on Kubernetes (GKE/EKS), optimize ML infrastructure, and handle scalable web applications in cloud environments.

Responsibilities:

• Develop and maintain web apps using Python, TypeScript, and Node.js.
• Manage DevOps pipelines and production infrastructure on GCP, including Terraform, Kubernetes, and cloud storage.
• Deploy, scale, and monitor ML models (vLLM, Triton, TensorRT-LLM) on multi-GPU instances.
• Optimize GPU resources, container GPU passthrough, autoscaling, and cost efficiency.
• Write and run tests for application and infrastructure code.
• Collaborate effectively using online communication tools (Slack, Teams, Zoom).
• Utilize AI coding copilots and productivity tools to accelerate development.

Requirements:

• 4–7 years experience in cloud infrastructure and DevOps/MLOps roles.
• Strong skills in Python, TypeScript, Node.js, and Kubernetes (GKE/EKS).
• Experience with GPU workloads, Terraform, SaaS environments, and Linux administration.
• Knowledge of ML model deployment, CUDA/NCCL debugging, and GPU optimization.
• Conversational English (written, verbal, listening).

Required - CI/CD, Node.js, TypeScript, CUDA, NCCL, GPU optimization, ML model deployment, Infrastructure as Code, Cloud infrastructure, and AI coding copilots.

Job Types: Full-time, Permanent

Key Requirements / Skills

• 6+ years of overall experience in software development with strong expertise in building scalable web applications.
• 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
• Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
• Front-end expertise: Strong experience in React, JavaScript, TypeScript, and building responsive and user-friendly UI/UX.
• Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
• AI/ML knowledge: Experience in implementing AI/ML models or integrating AI-based solutions to solve business problems.
• Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
• Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
• Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
• Strong communication skills to effectively interact with technical and non-technical stakeholders.
• Experience working in high-compliance environments such as healthcare systems is a plus.

Education Qualifications:

• B.Tech/M.Tech in CSE/IT/AI/ML from a good university

Role Overview: We are seeking a Research Engineer to develop AI-driven solutions at the intersection of energy, climate science, and artificial intelligence. You will play a pivotal role in product development, leveraging data science and machine learning to solve engineering challenges.

Responsibilities:

• Develop and deploy data-driven solutions for energy and power market applications.
• Analyze large, diverse data sets: meteorological, local sensors (wind, solar, consumption), images (satellite images, etc.).
• Solve core engineering problems with AI/ML techniques, domain expertise, and advanced modeling.
• Design and build scalable pipelines for training, testing, and deploying models.
• Communicate complex ideas effectively to both technical and non-technical stakeholders.
• Collaborate across teams to drive product development and ensure impactful outcomes.

Expectations:

• Ability to move from broad vision to technical solutions.
• Ownership mindset: accountability for effort and outcomes.
• Integrity, transparency, and teamwork. Requirements:
• Strong analytical skills with a data-driven and scientific approach.
• Proficiency in Python, capable of handling both structured and unstructured data.
• Prior experience (industry or academia) building machine learning or deep learning based AI solutions.
• Prior experience in LLM & GenAI is a plus.

Company: Wissen Technology

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology/

Wissen Technology, part of the Wissen Group founded in 2000, is a specialized technology company delivering high-end consulting services across Banking & Finance, Telecom, and Healthcare domains. The organization has grown significantly in recent years and works with several Fortune 500 clients including Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, and others.

Position Name - Senior Python Full Stack developers with Agentic AI

Location - Mum/Pune

Experience: 8-12 years. 

Key Responsibilities 

• Agent Development: Design, build, and deploy autonomous agents capable of independent decision-making, planning, and task execution.
• AI Orchestration: Utilize frameworks like LangGraph, AutoGen, CrewAI, or LangChain to orchestrate complex agentic workflows.
• LLM Integration: Integrate Large Language Models (LLMs) (e.g., GPT-4, Claude) with internal tools, vector databases, and external APIs using Retrieval-Augmented Generation (RAG) techniques.
• System Optimization: Optimize AI models for performance, scalability, and security in production environments.
• Memory & Context: Implement memory management for agents to ensure context retention across long-running tasks.
• Evaluation & Monitoring: Develop evaluation frameworks for agent performance and maintain agent observability (AgentOps). Naukri.com +3

Required Technical Skills

• Programming: Strong expertise in Python OOPs , asynchronous programming, and RESTful APIs.
• AI Frameworks and Tools : Deep knowledge of LangChain, LangGraph or AutoGen.
• Tools & Technologies: Vector Databases (Pinecone, Chroma), Prompt Engineering, and Agentic Design Patterns.
• Cloud & DevOps: Experience with AWS, GCP, or Azure and containerization (Docker, Kubernetes) for AI deployment.
• Database: Experience with SQL/NoSQL databases. 

EasySLR is pioneering the future of systematic literature reviews through AI and innovative technologies. Our platform, recognized by industry leaders and academic communities alike, redefines the way researchers conduct reviews, making the process faster, smarter, and more intuitive. We've been at the forefront of AI-driven research, presenting at major conferences and setting new standards in evidence synthesis. If you are a visionary leader with a passion for technology and a drive to make a significant impact, we want you to join our mission to transform the research landscape.

Responsibilities :

- Lead and mentor a team of talented engineers, fostering a culture of innovation, collaboration, and continuous learning.

- Architect and oversee the development of a scalable, high-performance platform that integrates cutting-edge AI technologies and industry best practices.

- Drive the engineering strategy, ensuring alignment with our product vision and business goals.

- Collaborate closely with cross-functional teams, including product, design, and AI experts, to deliver a world-class product experience.

- Ensure the robustness, security, and scalability of our infrastructure, leveraging your deep expertise in cloud computing and full-stack development.

- Stay ahead of emerging technologies, incorporating the latest advancements into our platform and maintaining our competitive edge.

- Cultivate a high-performing engineering team through effective hiring, coaching, and professional development opportunities.

Requirements :

- 4+ years of experience in software engineering, with a proven track record of leading high-performing engineering teams.

- Expertise in full-stack development, with hands-on experience in Python, Node.js, and frameworks like Next.js.

- Extensive experience with cloud platforms, particularly AWS, and familiarity with tools like AWS Lambda, AWS CDK, and containerization technologies.

- Strong background in designing and scaling complex, distributed systems with a focus on performance and security.

- Experience in AI/ML-driven product development is a significant plus.

- Exceptional problem-solving skills, with a strategic mindset and the ability to make data-driven decisions.

- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

What We Offer :

- The opportunity to lead a cutting-edge platform at the intersection of AI and systematic literature reviews.

- Competitive compensation and a clear path to executive leadership.

- A vibrant, inclusive work culture that values diversity, innovation, and work-life balance.

- The chance to make a meaningful impact in a fast-growing, AI-first SaaS company shaping the future of research.

Ready to lead the engineering efforts that will drive the next generation of AI-driven systematic reviews? Join us at EasySLR and be part of a team that's revolutionizing the research process. Apply now and embark on an exciting journey at the forefront of technology and innovation

Job Title: Full Stack Engineer (Django + Next.js)

We’re looking for a Full Stack Engineer with strong backend fundamentals and solid frontend experience to build scalable web products and APIs.

Must-Have

• Django + DRF (2+ years): Models, serializers, services, API views, migrations, query optimization (select_related / prefetch_related), transaction.atomic, custom managers

• Next.js + React (2+ years): App Router, SSR, client components, dynamic imports, useQuery, responsive UIs with Tailwind

• REST APIs: Auth, permissions, pagination, error handling, CORS, JWT flows

• PostgreSQL: Schema design, indexes, constraints, JSON fields, raw SQL when needed

• Celery / async tasks: Retry logic, idempotency, task chaining

• Git: Clean commits, branching, PR workflow

Good to Have

• AI / LLM integrations

• AWS S3 and presigned uploads

• Multi-tenancy

• WebRTC / MediaRecorder

• Docker

• Testing with pytest / Django TestCase / factory_boy

We’re looking for someone who can independently own features end-to-end and write clean, scalable code.

Description :

Job Title : Python Engineer- AI Agents & Code Optimization

Experience : 2+ Years

Employment Type : Full-time

Location : Remote

About the Role :

We are looking for a hands-on Software Engineer to build and improve AI agents that work directly on our production code.

Your core responsibility will be to design and evolve a specialized AI agent that deeply understands our codebase and actively helps make it faster, cleaner, simpler, and cheaper to maintain.

This is not a research role. This is real work on real systems with real business impact.

How We Work :

- Business impact first : Cheaper, Faster, Better

- Simple beats complex always

- Small changes, shipped fast

- You own your work end-to-end

- First question is always : Do we even need this?

- Flat team, zero micromanagement

- Decisions can change adaptability matters

- No long PRDs : one clear goal ? discuss ? execute

- Ship, measure, improve, repeat

What You Will Do :

- Build and use AI agents to optimize, refactor, and remove code

- Feed logs, metrics, and performance data back into AI agents

- Profile applications and identify performance bottlenecks

- Optimize SQL queries and database usage

- Improve deployment pipelines and release processes

- Continuously improve internal AI tooling

- Work closely with infrastructure and production systems

Tech You Should Be Comfortable With :

You dont need to be an expert in everything, but you should be comfortable working with :

- Linux CLI (Required)

- Python

- PHP

- SQL (MySQL or MariaDB)

- Shell scripting

- Large Language Models (LLMs)

What Were Looking For :

- 2+ years of software engineering experience (or strong hands-on projects)

- Solid understanding of performance optimization

- Experience cleaning up legacy or messy codebases

- Practical profiling and debugging skills

- Comfortable working close to infrastructure and deployments

- Automation-first mindset

- Ability to explain technical decisions clearly and simply in English

Nice to Have :

- Experience building AI agents

- Exposure to large or long-running systems

- CI/CD or deployment automation experience

When You Join :

- Career Growth : You are expected to grow into a tech lead, entrepreneur, or highly skilled specialist

- Bleeding-Edge Tech : Hands-on experience with alpha/beta software, cutting-edge infrastructure, and top tier hardware

- Global Exposure : Work with a global team and directly with C-level leadership

- Real Impact : Your code directly solves real user problems and moves the company forward

Role Summary

The Service Delivery & Change Manager is responsible for ensuring smooth day-to-day support operations, structured execution of change requests, and controlled production releases across client accounts and internal systems. This is a hybrid role requiring a mix of delivery management, technical coordination, stakeholder communication, and operational discipline.

Key Responsibilities

• Oversee day-to-day production support activities across projects or client accounts
• Manage incidents, service requests, and operational issues to ensure timely resolution and SLA compliance
• Coordinate with internal technical teams for troubleshooting, escalation, and closure of support cases
• Maintain support records, trackers, and operational documentation
• Support business users with system-related requests, user access coordination, and issue follow-up where needed
• Manage the complete lifecycle of change requests from requirement gathering to closure
• Coordinate with business stakeholders, clients, and technical teams to define scope, effort, timelines, and priorities
• Ensure proper approvals, documentation, planning, testing, deployment readiness, and closure of all changes
• Coordinate production deployments involving application and database changes
• Support release planning, deployment communication, release notes, and post-release follow-up
• Act as the primary coordination point between clients, business teams, and delivery teams
• Lead or support review meetings, status calls, follow-ups, and issue discussions
• Provide regular updates on support status, change progress, risks, and delivery timelines
• Ensure adherence to internal processes, governance standards, and audit requirements
• Support compliance-related activities, reporting needs, and documentation for management or client review
• Prepare weekly and monthly reports covering incidents, support activities, change requests, deployment status, and team utilization
• Track open items, pending approvals, delivery risks, and recurring support trends
• Support management with structured data for invoicing inputs, audit preparation, and operational analysis
• Contribute to process improvements that strengthen service quality, delivery control, and communication flow
• Manage resource planning, team allocation, leave schedules, and backup coverage to ensure smooth delivery continuity.
• Support onboarding, knowledge transfer, and internal coordination for smooth service continuity
• Identify, support, and help drive AI-led initiatives that improve operational efficiency, service quality, reporting, or delivery processes

Required Skills / Knowledge

• Strong experience in application support, service delivery, change management, or technical project coordination
• Good understanding of incident management, service request handling, and change control processes
• Experience in production release coordination and deployment planning
• Strong stakeholder management and client communication skills
• Ability to work across business, technical, and operational teams
• Strong reporting, documentation, and follow-up discipline
• Familiarity with ticketing tools, release processes, and enterprise support environments
• Good analytical and problem-solving skills
• Ability to manage multiple priorities in a structured and calm manner
• Working knowledge of Java-based enterprise applications, including Spring Framework and Hibernate
• Familiarity with cloud platforms such as AWS
• Basic working knowledge of Linux environments
• Understanding of CI/CD tools and version control platforms such as Jenkins, GitHub, and Bitbucket
• Ability to coordinate effectively with development and DevOps teams on application changes, deployments, and environment-related issues
• Strong interest in emerging technologies and willingness to contribute to AI initiatives within the organization

Preferred Qualifications

• Bachelor’s degree in Engineering, IT, Computer Science, or related field
• 5+ years of relevant experience in service delivery, application support, or technical project management
• Experience in client-facing delivery environments
• Exposure to audit, compliance, or governance-heavy projects is an advantage
• Experience in the Energy sector and/or Ecommerce will be an added advantage

About Us

AtDrive Infotech is a forward-thinking IT company delivering innovative and scalable software solutions using modern technologies. We focus on building reliable, secure, and intelligent applications that enhance business performance.

We are looking for a motivated Software Development Engineer (ASP.NET) who is eager to learn, contribute to development projects, and work on modern technologies including AI-integrated applications.

Key Responsibilities

• Assist in designing, developing, and maintaining ASP.NET-based applications.
• Participate in the software development lifecycle, including coding, testing, debugging, and deployment.
• Develop and maintain ASP.NET MVC and Web API applications.
• Work on frontend development using HTML5, CSS3, JavaScript, and jQuery.
• Develop and integrate REST APIs and third-party services.
• Write efficient SQL queries and assist in database development.
• Debug technical issues and optimize application performance.
• Perform real-time testing during development to ensure code quality.
• Collaborate with team members and follow coding standards.
• Support deployment and maintenance activities.

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 1–2 years of experience in ASP.NET development.

Required Technical Skills

• Good knowledge of C# and .NET Framework.
• Experience with ASP.NET MVC and Web API development.
• Basic knowledge of Web Services and API integration.
• Strong understanding of HTML5 and CSS3.
• Experience with JavaScript and jQuery.
• Familiarity with AJAX-based client-server communication.
• Basic knowledge of SQL Server and Stored Procedures.
• Familiarity with Entity Framework or LINQ.
• Understanding of JSON and XML data formats.
• Basic knowledge of Object-Oriented Programming (OOP) concepts.
• Familiarity with Git or version control systems.

AI Skills (Desired)

• Basic understanding of Artificial Intelligence (AI) concepts.
• Familiarity with using AI-based APIs such as chatbots or automation tools.
• Willingness to learn and work on AI-integrated applications.

Additional Skills (Preferred)

• Exposure to AngularJS or similar frontend frameworks.
• Familiarity with WPF / WinForms concepts.
• Basic knowledge of n-tier architecture.
• Understanding of debugging and performance optimization techniques.

Personal Attributes

• Strong problem-solving and troubleshooting skills.
• Ability to work in a fast-paced development environment.
• Good communication and teamwork skills.
• Self-motivated and eager to learn new technologies.
• Ability to prioritize tasks and meet deadlines.
• Strong ownership and accountability mindset.

Roles Expectations

• Deliver assigned development tasks within deadlines.
• Maintain clean and maintainable code.
• Follow development and quality standards.
• Continuously learn new technologies and frameworks.
• Support senior developers in technical implementations.

Job Details

Job Title: Software Development Engineer – ASP.NET

Job Type: Full-time

Work Location: Remote

Salary Range:

₹25,000 – ₹35,000 per month

(Negotiable based on skills and technical performance)

Benefits

• Paid sick leave
• Paid time off
• Work from home

Schedule

• Day shift
• Monday to Friday (Mon-Sat during Probation)

Social Media Manager

The Brand Concierge | Delhi (On-site)

About The Brand Concierge

The Brand Concierge is a marketing agency specializing in crafting customized solutions to elevate businesses in the digital landscape. We work with premium and luxury brands across fashion, lifestyle, beauty, home, and legacy segments driving measurable and performance led growth.

Our core services include social media marketing, performance marketing, influencer marketing, and branding. Guided by design, communication, and strategy, we help brands build a distinct identity and strong market presence.

🔹 Key Responsibilities

• Content Creation:
• Create engaging social media content including posts, reels, and stories using tools such as Canva, InShot, CapCut, and AI-based platforms.
• Social Media Strategy:
• Assist in planning and executing platform-specific strategies to grow brand presence and engagement organically.
• Brand Management:
• Collaborate with designers, performance marketers, and developers to ensure consistent and effective brand communication.
• Influencer Marketing & Collaborations:
• Identify relevant influencers and manage collaborations to enhance brand visibility and audience reach.
• Client Servicing:
• Support client communication, manage timelines, and ensure timely delivery of campaigns and content.
• Copywriting - Write crisp, compelling captions and campaign copy for Instagram, Facebook, and other platforms

🔹 Skills & Requirements

• Minimum 1–3 years of experience in social media or digital marketing
• Strong creative skills with hands-on experience in content creation tools
• Proficiency in Canva, InShot, CapCut, and AI tools
• Excellent written and verbal communication skills
• Good organizational and multitasking abilities
• Ability to work collaboratively in a fast-paced team environment
• Proficiency in Microsoft Office (Excel, Word, PowerPoint) is a plus
• Self-motivated, proactive, and strategic thinker
• Must bring own laptop to work

Intern (GenAI - Python) - 3 Months Unpaid Internship

Job Title: GenAI Intern (Python) - 3 Months Internship (Unpaid)

Location: Ahmedabad (On-Site)

Duration: 3 Months

Stipend: Unpaid Internship

Company: Softcolon Technologies

About the Internship:

Softcolon Technologies is seeking a dedicated GenAI Intern who is eager to delve into real-world AI applications. This internship provides hands-on experience in Generative AI development, focusing on RAG systems and AI Agents. It is an ideal opportunity for individuals looking to enhance their skills in Python-based AI development through practical project involvement.

Eligibility:

• Freshers or currently pursuing BE (IT/CE) or related field
• Strong interest in Generative AI and real-world AI product development

Required Skills (Must Have):

• Basic knowledge of Python
• Basic understanding of Python frameworks like FastAPI and basic Django
• Familiarity with APIs and JSON
• Submission of resume, GitHub Profile/Project Portfolio, and any AI/Python project links

What You Will Learn (Internship Goals):

You will gain hands-on experience in:

• Fundamentals of Generative AI (GenAI)
• Building RAG (Retrieval-Augmented Generation) applications
• Working with Vector Databases and embeddings
• Creating AI Agents using Python
• Integrating LLMs such as OpenAI (GPT models), Claude, Gemini
• Prompt Engineering + AI workflow automation
• Building production-ready APIs using FastAPI

Responsibilities:

• Assist in developing GenAI-based applications using Python
• Support RAG pipeline implementation (embedding + search + response)
• Work on API integrations with OpenAI/Claude/Gemini
• Assist in building backend services using FastAPI
• Maintain project documentation and GitHub updates
• Collaborate with team members for tasks and daily progress updates

Selection Process:

• Resume + GitHub portfolio screening
• Short technical discussion (Python + basics of APIs)
• Final selection by the team

Why Join Us?

• Practical experience in GenAI through real projects
• Mentorship from experienced developers
• Opportunity to work on portfolio-level projects
• Certificate + recommendation (based on performance)
• Potential for a paid role post-internship (based on performance)

How to Apply:

Share your resume and GitHub portfolio link via:

Job Title: Associate Product Manager

Location: Arjan Garh, Delhi On site

Company: Timble Glance

About Us:

Timble Glance is a leading AI based RegTech company that provides cutting-edge solutions in the B2B SaaS space, specifically catering to the BFSI sector. Our platform streamlines compliance and regulatory processes, helping organizations stay ahead in an evolving regulatory landscape. We are now looking for an Associate Product Manager to join our dynamic team and help us shape the future of regulatory technology.

Role Overview:

As Technical Product Manager, you will support the product team in delivering innovative solutions for the BFSI sector. You’ll work closely with developers, and cross-functional teams to ensure our products meet the needs of our clients. This is an excellent opportunity for someone with 4-6 years of experience looking to develop their career in product management within the fintech and RegTech space.

Key Responsibilities

●Assist in the end-to-end product lifecycle, from ideation and requirements gathering to launch and post-launch analysis.

●Collaborate with stakeholders to understand market needs, customer pain points, and regulatory trends.

●Define detailed product requirements, user stories, and acceptance criteria.

●Work closely with engineering, QA, and design teams to ensure timely and high-quality product releases.

●Assist in the prioritization of product backlogs based on business value, customer feedback, and technical feasibility.

●Monitor product performance and KPIs, providing insights and recommendations for continuous improvement.

●Conduct market research and competitor analysis to identify product opportunities and risks.

●Support the creation of technical and product documentation for internal and external stakeholders.

Qualifications and Skills

●2-4 years of experience in product management, required in BFSI or fintech.

●Understanding of the BFSI sector and regulatory requirements is a plus.

●Experience working with APIs and knowledge of API management is required.

●Familiarity with agile methodologies and tools (e.g., Jira, Confluence).

●Excellent communication and stakeholder management skills.

●Analytical mindset with strong problem-solving skills.

●Self-motivated with a willingness to learn and adapt in a fast-paced environment.

●Exposure to AI, fintech, and/or API management.

REQUIRED QUALIFICATION

●Bachelor’s degree in Business, Computer Science, Engineering, or a related field.

Strong Junior GenAI / AI Backend Engineer Profiles

Mandatory (Experience 1) – Must have 1+ years of full time expeirence in software development using LLMs (OpenAI / Gemini / similar) in projects (internship / full-time / strong personal projects)

Mandatory (Experience 2) – Must have strong coding skills in Python and hands-on backend development experience (FastAPI / Django preferred)

Mandatory (Experience 3) – Must have built or contributed to AI/LLM-based applications, such as chatbots, copilots, document processing tools, etc.

Mandatory (Experience 4) – Must have basic understanding of RAG concepts (embeddings, vector DBs, retrieval)

Mandatory (Experience 5) – Must have experience building APIs or backend services and integrating with external systems

Mandatory (Experience 6) – Must have AI/LLM projects clearly mentioned in CV (with what was built, not just tools used)

Mandatory (Experience 7) – Must have worked with modern development tools (Git, APIs, basic cloud exposure)

Mandatory (Tech Stack) – Strong in Python + basic AI/LLM ecosystem

Mandatory (Company) – Product companies / Funded startups (Series A / B / high-growth environments)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Mandatory (Exclusion) - Avoid candidates with Only Prompt Engineers, from pure Data Science / ML theory background without backend coding, Frontend-heavy engineers.

Prompt Engineer Intern (Intern → Full-Time)

AI Startup

We’re an early-stage AI startup founded by 2× entrepreneurs from IIT & IIM, building user-first AI products from day one. We move fast, talk to clients daily, and ship relentlessly.

We’re looking for a curious, driven Prompt Engineer Intern who wants real ownership—not just theory. This is a hands-on role with a clear path to full-time conversion based on performance.

If you enjoy decoding client needs, crafting precise AI prompts, and turning vague requirements into reliable workflows, this role is for you.

What You’ll Do

• Speak with clients regularly to deeply understand their requirements, use cases, and pain points
• Translate client feedback into optimized AI workflows, prompts, and system architectures
• Design, test, and refine prompts for LLMs to deliver accurate, efficient outputs
• Prioritize workflow improvements and write clear, actionable prompt specs and test cases
• Work closely with engineering and product teams to integrate prompts into live AI products and iterate based on results
• Track and analyze AI performance metrics (e.g., accuracy, latency, cost) to refine workflows
• Help shape the AI roadmap with a strong bias for execution, scalability, and client impact

What We’re Looking For

• Strong interest in AI, LLMs, prompt engineering, and building real-world AI solutions
• High client empathy and excellent written & verbal communication to bridge business needs with tech
• Fast learner with a hands-on, ownership-driven mindset
• Comfortable working in ambiguity, experimenting with prompts, and moving quickly
• No prior prompt engineering experience required—curiosity, hustle, and accountability matter more

Internship Details

• Duration: 6 months
• Conversion: Full-time opportunity based on performance
• Stipend: ₹10,000 - 15000 per month
• Full-Time CTC: ₹4.5+ LPA (performance-based)
• Ideal Profile: Aspiring Prompt Engineer with some exposure to AI projects, hackathons, side projects, or experimenting with LLMs (e.g., OpenAI, Grok)

What You’ll Learn

• Prompt Engineering: Crafting effective prompts, chain-of-thought, and advanced techniques
• Client-to-AI Translation: Converting business requirements into robust AI workflows
• Execution: Collaborating with engineers to deploy and scale AI systems
• Voice AI Ecosystem: Building workflows for voice agents and real-world applications
• AI Optimization: Using metrics to evaluate prompts, reduce costs, and boost performance
• Product Analytics: Data-driven iteration for client-facing AI solutions

If you want to build, optimize, and learn by doing, this is a high-impact opportunity to kickstart your Prompt Engineering career in AI.

Generative AI System Design

• Architect and implement end-to-end LLM-powered applications
• Build scalable RAG pipelines (chunking, embeddings, hybrid search, reranking)
• Design and implement agent-based workflows (tool calling, multi-step reasoning, orchestration)
• Integrate LLM APIs such as OpenAI and Anthropic, along with open-source models
• Implement structured output validation, grounding strategies, and hallucination mitigation
• Optimize inference cost, latency, and token efficiency
• Design evaluation pipelines for performance, accuracy, and safety

2️⃣ Backend & Microservices Engineering

• Design scalable backend systems using Python
• Build REST and async APIs using FastAPI / Django
• Architect and implement microservices with clear service boundaries
• Implement service-to-service communication (REST, gRPC, event-driven messaging)
• Work with message brokers (Kafka / RabbitMQ)
• Optimize database performance (PostgreSQL, MongoDB)
• Implement caching strategies (Redis)
• Build observability: logging, monitoring, distributed tracing

3️⃣ Cloud-Native Architecture & DevOps

• Design and deploy containerized services using Docker
• Orchestrate services using Kubernetes
• Implement CI/CD pipelines
• Ensure system scalability, resilience, and fault tolerance
• Apply distributed systems principles:
• Circuit breakers
• API gateway patterns
• Load balancing
• Horizontal scaling
• Saga patterns
• Zero-downtime deployments

Job Description

Experience: 3–6 Years

Location: Bangalore (Should be willing to travel to Indonesia, 6 months-1 year)

Role Overview

We are looking for a skilled Agentic Engineer / Data Scientist with hands-on experience in designing, architecting, and developing advanced agentic systems and intelligent solutions. The ideal candidate will have a strong foundation in modern AI frameworks and experience building scalable, production-grade AI systems.

Key Responsibilities

• Design and develop agentic systems and AI-driven solutions
• Architect scalable workflows for multi-agent systems
• Implement and optimize RAG (Retrieval-Augmented Generation) pipelines
• Work with vector embeddings and vector databases
• Build and manage agent orchestration frameworks
• Develop end-to-end AI workflows, including data ingestion, processing, and inference
• Collaborate with cross-functional teams to deliver AI-powered solutions
• Continuously evaluate and integrate emerging AI tools and frameworks

Required Skills & Qualifications

• 3–6 years of experience in Data Science, Machine Learning, or AI Engineering
• Strong experience in agent engineering and agent-based architectures
• Hands-on experience with:
• RAG pipelines
• Vector embeddings and semantic search
• Multi-agent orchestration and workflow design
• Proficiency in Python and relevant ML/AI libraries
• Experience with:
• LangChain (mandatory)
• LangGraph (mandatory)
• Solid understanding of LLMs and prompt engineering
• Strong problem-solving and system design skills

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.

• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred
• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare

The Principal Architect leads Byteridge’s Technology Strategy & Solutions Group (TSS). This is a senior, visible role responsible for defining technology point-of-view, shaping solution narratives, guiding enterprise conversations, and influencing revenue through differentiated thinking.

The Architect owns thought leadership, reference architectures, solution accelerators, and selective engagement on high-impact deals.

Key Responsibilities

• Own, enhance & execute Byteridge’s technology strategy across priority areas (Cloud, Data, Gen AI, Modernization).
• Create and maintain enterprise-grade reference architectures, solution blueprints, PoCs and accelerators.
• Lead strategic discovery workshops and executive-level solutioning for priority opportunities.
• Partner with Content Marketing to translate technical POVs into blogs, whitepapers, decks, webinars, and sales narratives.
• Enable the Enterprise Account Executive with differentiated solution stories and technical credibility.
• Build strong partnerships with Byteridge delivery teams to identify high-impact solutions and projects that can be leveraged as compelling capability showcases for existing customers and prospective clients.
• Work with Delivery Team Architects to influence delivery standards and architectural consistency across teams.
• Research market and industry trends across technologies, popular enterprise solutions, and buyer adoption patterns. Go deep into selected domains and verticals to continuously refine Byteridge’s technology strategy, solution approaches, and positioning.
• Act as a visible external voice through talks, webinars, and published content.

Ideal Profile

• 12–16 years of experience across technology architecture, solutioning, or technology consulting roles.
• Demonstrated ability to research and synthesize market trends, emerging technologies, and popular enterprise solutions.
• Experience developing deep expertise in specific domains or industry verticals and translating that into solution strategies.
• Strong background in modern software engineering, cloud platforms, data, AI, and enterprise systems.
• Proven track record of influencing client decisions and shaping solution direction, not just designing systems.
• Comfortable working at the intersection of technology, business strategy, marketing, and sales.
• Excellent communication skills with executive presence and the ability to articulate complex ideas clearly.

Success Metrics (KPIs)

• Quarterly technology and market POVs produced and adopted internally or externally.
• Creation and reuse of reference architectures, solution frameworks, and accelerators across deals.
• Number of high-impact delivery projects converted into capability showcases and sales assets.
• Influence on strategic opportunities, measured through deal quality, size, and AE feedback.
• Thought leadership visibility through blogs, webinars, talks, or industry participation.
• Internal adoption of architectural standards and solution approaches by delivery teams.

Key Responsibilities

AI Architecture & Solution Design

• Design end-to-end AI solution architectures, including:
• Generative AI and LLM-based systems
• Retrieval-Augmented Generation (RAG) pipelines
• Agentic and multi-agent workflows
• Define reference architectures and best practices for AI-enabled features within enterprise products.
• Ensure AI solutions integrate seamlessly with existing applications, data, and cloud architectures.

AI Integration & MCP Servers

• Design and implement Model Context Protocol (MCP) servers to securely expose tools, APIs, and data to AI agents.
• Define standards for tool interfaces, access control, auditing, and safety guardrails.
• Enable product teams to onboard AI tools and capabilities using reusable, scalable integration patterns.

Agentic AI & Workflow Enablement

• Architect AI-driven workflows that support collaboration between humans and AI agents.
• Design AI-to-AI (A2A) and AI-to-system interaction patterns.
• Ensure agent behaviors are deterministic, explainable, and aligned with enterprise requirements.

Hands-On Development & Prototyping

• Build proofs-of-concept and production-ready implementations using Python and/or TypeScript.
• Rapidly validate ideas from ideation to deployment.
• Establish reusable frameworks, libraries, and CI/CD pipelines for AI development.

AI Governance, Quality & Safety

• Implement guardrails to minimize hallucinations, unsafe actions, and data leakage.
• Define evaluation and monitoring strategies for AI systems, including prompt regression and RAG accuracy checks.
• Ensure AI solutions comply with enterprise security, privacy, and governance standards.

Developer Enablement & Collaboration

• Partner with Product, Engineering, QE, Performance, and Security teams to deliver AI capabilities.
• Mentor teams on AI design patterns, tooling, and best practices.
• Contribute to internal AI communities through demos, documentation, and knowledge sharing.

Qualifications :

Required Qualifications

• Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
• Demonstrated expertise in cloud‑native system design, distributed architectures, and enterprise‑scale integrations.
• Proven ability to architect and implement AI-enabled systems, including integrating Large Language Models (LLMs) into production-grade software.
• Strong ownership of architectural decisions, technical direction, and solution delivery across complex, cross-functional initiatives.
• Hands-on experience applying security, observability, and automation best practices within enterprise environments.
• 6–10 years of experience in software architecture and distributed systems.
• 5+ years of experience building Generative AI or LLM-based solutions.
• Practical experience designing and implementing:
• Retrieval-Augmented Generation (RAG) architectures
• Agentic AI systems
• Tool-calling frameworks and AI integration layers
• Proficiency in Python and/or .Net/TypeScript/Node.js.
• Experience working with major cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).

Preferred Qualifications

• Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
• Familiarity with Model Context Protocol (MCP) or equivalent AI tool-integration frameworks.
• Experience applying AI engineering practices beyond prototyping, including evaluation, reliability, and scalability considerations.
• Ability to translate ambiguous business problems into clear technical architecture and execution plans.
• History of influencing technical standards and mentoring senior engineers or architects.
• Experience with vector databases, embeddings, and retrieval optimisation.
• Experience building AI-enabled developer tooling and CI/CD pipelines.
• Prior experience in enterprise SaaS environments.

Description

Company is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in Google Cloud to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. We embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.

As a member of our Cloud Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. Our clients will look to you as their trusted advisor, someone they can rely on and who will be there to help them along their Google Cloud journey. You will be expected to work a large spectrum of technology and tools including public cloud platforms, AI and LLMs, Kubernetes, data processing systems, databases, and more.

What you will do...

• Working with our clients to understand their requirements and technical challenges. Using this input you will develop a technical design for a solution and communicate the value of your solution to the client team.
• You will work to develop delivery estimates and an estimated project plan.
• You will act as the lead technical member of the implementation project team. You are responsible for making the key technical and keeping delivery on track. You should be able to unblock when things are stuck.
• Utilize a broad range of technologies such as Kubernetes, AI, and Large Language Models (LLMs), to develop scalable and efficient cloud applications.
• Stay abreast of industry trends and new technologies to drive continuous improvement in cloud solutions and practices.
• Work closely with cross-functional teams to deliver end-to-end cloud solutions, from conceptualization to deployment and maintenance.
• Engage in problem-solving and troubleshooting to address complex technical challenges in a cloud environment.

What we need...

• 5+ years of experience working in a Software Engineering capacity
• Excellent knowledge and experience with Python, and preferably additional languages such as Go
• Strong critical thinking skills, and a bias towards problem solving
• Familiarity with implementing microservice architectures
• Fundamental skills with Kubernetes. You should be familiar with packaging and deploying your applications to k8s
• Experience building applications that work with data, databases, and other parts of the data ecosystem is preferred
• Familiarity with Generative AI workflows, frameworks like Langchain, and experience with Streamlit are all highly desirable, but at a minimum you should have a willingness to learn
• Experience deploying production workloads on the public cloud - either GCP or AWS
• Experience using CI/CD tools such as GitHub Actions, GitLab, etc
• Able to work with new tools and technologies where you may not have prior experience
• Comfortable with being on video in meetings internally and with clients
• Strong English communications skills

We are a fully remote company and offer competitive compensation and benefits.

About us

We’re building an agentic, AI-native platform for creator advertising — automating the campaign lifecycle (brief → creator selection → outreach/follow-ups → approvals → delivery QA → reporting).

The role

We’re hiring a Product Manager who can code and can drive product end-to-end while working extremely closely with the engineering team. This is a builder role: you’ll design agent workflows, run tight execution, and help shape the product foundation for scale. This is an in-office Mumbai role.

Location: Mumbai (In-office, 5 days/week)

Type: Full-time

Experience: 2–6 years (flexible for exceptional builders)

Reports to: Founder/CEO

Works with: Engineering (small team), and later Design/Data/Ops Traction: Working with large enterprises and managing seven-figures per month in influencer spend

What we’re looking for

Must-haves

• 2–6 years shipping software products (years flexible if you can prove ownership)
• Strong technical fluency end-to-end:

○ APIs/webhooks, auth basics, event tracking & analytics

○ ability to reason through edge cases, reliability, and scalability tradeoffs

• Can code (proficient in Python/TypeScript/JavaScript/Go) and comfortable doing hands-on work when needed
• Demonstrated ability to run user interviews and convert insights into shipped outcomes
• Proven shipping in fast cycles with real outcomes/metrics
• High ownership, crisp communication, strong execution leadership
• Mumbai in-office availability (or immediate relocation)

Nice to have

• Built LLM/AI features with real users (prompts + tools + evaluation/guardrails)
• Experience with marketplaces, AdTech/measurement, creator/influencer products, B2B SaaS
• SQL comfort and familiarity with analytics/debugging production systems

What you’ll do

Customer discovery & user interviews (core part of the job)

• Do weekly user interviews with enterprise marketing teams, agencies, and creators
• Turn messy feedback into clear product bets, workflows, and experiments
• Build strong product intuition by staying close to users and real campaign execution
• Validate new features with rapid prototypes and structured feedback loops

Build the agentic AI product

• Design agent workflows: what the agent does, what humans approve, and how exceptions escalate
• Define tool usage for the agent (retrieval, matching, messaging sequences, QA checks)
• Specify evaluation + guardrails (quality metrics, fallbacks, audit logs, safety/brand checks)

Own core platform workflows (enterprise-grade)

• Own campaign workflow states, approvals, permissions, and internal ops tooling
• Drive integrations (APIs/webhooks) and reliable execution paths
• Define instrumentation (event schema) and ensure reporting accuracy + trust

Drive execution with engineering

• Write specs engineers can build from (flows, acceptance criteria, edge cases)
• Run sprint planning, prioritization, release readiness, QA
• Make scope tradeoffs quickly and maintain a weekly shipping cadence

Hands-on building (coding)

Depending on your strengths, you may:

• build internal tools/admin screens, scripts, prototypes, integrations, data utilities
• write quick POCs for agent workflows, tool definitions, or evaluation harnesses
• help debug production issues using logs/SQL

What success looks like

• Weekly cadence of user interviews → clear insights → shipped improvements
• MVP agent workflow shipped with measurable time savings + quality controls
• Reduced manual ops per campaign through automation + internal tooling
• Trusted reporting and instrumentation (customers trust the numbers)
• Consistent weekly shipping cadence and strong engineering throughput

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve real-world problems. You will be instrumental in designing and developing intelligent software solutions, leveraging the power of foundation models to automate and optimize critical workflows. Collaborating closely with domain experts, data scientists, and ML engineers, you will integrate advanced ML and AI technologies into both existing and new systems. This role offers a unique opportunity to explore innovative ideas, experiment with the latest foundation models, and build impactful products that directly enhance the lives of citizens by transforming how government services are delivered. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.

Responsibilities

• Utilize and adapt foundation models, particularly in vision and data extraction, as the core building blocks for developing impactful products aimed at improving government service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
• Architect, build, and deploy intelligent AI agent-driven workflows that automate and optimize key processes within government service delivery. This encompasses the full lifecycle from conceptualization and design to implementation and monitoring
• Contribute directly to enhancing our model evaluation and monitoring methodologies to ensure robust and reliable system performance. Proactively identify areas for improvement and implement solutions to optimize model accuracy and efficiency
• Continuously learn and adapt to the rapidly evolving landscape of AI and foundation models, exploring new techniques and technologies to enhance our capabilities and solutions

Who you are

You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens

Skills & Requirements

• 1-3 years of experience in programming languages such as Python or Scala
• Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
• Tuning and deploying foundation models, particularly for vision tasks and data extraction
• Excellent analytical and problem-solving skills with the ability to break down complex challenges into actionable steps
• Strong written and verbal communication skills, with the ability to effectively articulate technical concepts to both technical and non-technical audiences

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

🚀 Hiring: AI/M and Gen AI Engineer

⭐ Experience: 5+ Years

⭐ Work Mode:- Remote

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

🌟 About the Role

We are looking for a highly skilled AI/ML Software Engineer to design, build, and productionize enterprise-grade AI solutions. This role focuses on Generative AI, RAG systems, and AI agent–driven automation, with deployment on Microsoft Azure.

You will collaborate with cross-functional teams including architects, engineers, and business stakeholders to deliver scalable and secure AI solutions that create real business impact.

🔑 Mandatory Skills (Must Have)

• ✅ Azure AI Ecosystem (Azure Machine Learning, Azure OpenAI, Cognitive Services)
• ✅ Generative AI & RAG Systems (vector embeddings, retrieval pipelines)
• ✅ Strong Software Engineering + MLOps (CI/CD, containerization, scalable deployments)

💼 Key Responsibilities

• Design, develop, and deploy AI/ML models in production environments
• Build and optimize RAG-based applications and AI agent workflows
• Develop scalable data pipelines and integrate with enterprise systems
• Implement MLOps practices for continuous deployment and monitoring
• Work with big data tools to process large-scale datasets
• Ensure security, scalability, and performance of AI systems
• Collaborate with stakeholders to translate business problems into AI solutions

🧠 Required Experience & Skills

• 5–8 years of hands-on experience in AI/ML development
• Strong programming and software engineering expertise
• Experience with Azure services (ML, Data Lake, OpenAI, Cognitive Services)
• Knowledge of vector databases and embedding models
• Experience with Databricks, Azure Data Factory, or Kafka
• Familiarity with multi-agent systems / agentic AI frameworks
• Proficiency in TensorFlow, PyTorch, Keras, or Scikit-learn
• Background in NLP, Computer Vision, or Deep Learning
• Experience with SQL/NoSQL databases and ETL pipelines
• Strong analytical and problem-solving skills 

Job description:

About Us

AtDrive Infotech is a forward-thinking IT company delivering innovative, scalable, and intelligent web solutions using modern technologies. We focus on building high-performance applications and integrating AI-driven capabilities to enhance user experience and business efficiency.

We are looking for an experienced Angular/Node.js Team Lead who can drive technical excellence, lead development teams, and ensure successful delivery of scalable applications.

Key Responsibilities

• Lead the design, development, and deployment of scalable web applications using Angular and Node.js.
• Provide technical leadership and mentor developers to maintain coding standards and best practices.
• Manage the end-to-end development lifecycle, including requirement analysis, development, testing, deployment, and maintenance.
• Assign tasks, track progress, and ensure timely delivery of project milestones.
• Design and maintain RESTful APIs and backend services.
• Review code, identify technical risks, and optimize system performance.
• Collaborate with clients and stakeholders to translate business requirements into technical solutions.
• Participate in Agile/Scrum ceremonies such as sprint planning, reviews, and stand-ups.
• Drive the implementation of AI-powered features and integrations where applicable.
• Ensure quality through testing, debugging, and performance optimization.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of total experience in web development.
• Minimum 1 year of experience leading or coordinating development teams.

Required Technical Skills

• Strong expertise in Angular for enterprise-level frontend development.
• Proficiency in Node.js for scalable backend development.
• Advanced knowledge of MySQL database design and optimization.
• Strong experience in REST API development and third-party integrations.
• Hands-on experience with:
• JavaScript
• HTML5
• CSS3
• Bootstrap
• jQuery
• Experience working with MVC architecture.
• Familiarity with AJAX and JSON/XML.
• Strong knowledge of Git/version control systems.

AI Skills (Required)

• Understanding of AI concepts and their application in web development.
• Experience integrating AI-powered APIs (e.g., chatbots, automation tools).
• Basic understanding of AI workflows and automation tools is preferred.

Leadership & Collaboration Skills

• Experience leading small teams (2–5 developers).
• Ability to mentor team members and support technical growth.
• Strong task management and delivery tracking skills.
• Experience working in Agile/Scrum environments.
• Ability to manage multiple priorities and deadlines effectively.

Client Communication Skills

• Strong written and verbal communication skills in English.
• Ability to gather requirements and communicate project updates to clients.
• Ability to explain technical concepts clearly to non-technical stakeholders.

Personal Attributes

• Strong leadership and problem-solving skills.
• Self-motivated and proactive mindset.
• Ability to work in a fast-paced environment.
• Strong sense of ownership and accountability.
• Ability to multitask while maintaining quality standards.

Evaluation Criteria

Candidates will be evaluated based on:

• Angular Development & Architecture Skills
• Node.js Backend Development Expertise
• MySQL Database Skills
• API Development Capability
• AI Integration Knowledge
• Team Leadership Experience
• Communication & Problem-Solving Ability

Why Join Us?

Join AtDrive Infotech and work on innovative projects that leverage modern web technologies and AI integration. We provide opportunities to lead teams, solve complex challenges, and contribute to impactful digital solutions.

Schedule

• Day shift
• Monday to Friday (Mon-Sat during Probation)

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Work from home

Work Location: Remote

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 bring 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.

Experience Level

This role is ideal for engineers with total 6+ years of experience in which around 5+ years of hands-on software development experience in React.js and 1+ years of experience in Accessibility testing, with a proven track record of shipping complex projects successfully.

An experienced individual contributor and leader who thrives in large, complex projects with widespread impact.

What You’ll Do as a Software Craftsperson 

• Design and build high-quality, maintainable systems using disciplined engineering practices such as TDD, continuous refactoring, and pair programming 
• Operate in an AI-native development model, using AI as a collaborator to explore architecture and design, accelerate development, and continuously improve systems while applying strong judgment to ensure that speed never compromises quality 
• Take end-to-end ownership of outcomes from problem understanding and system design to implementation, deployment, and operation in production 
• Make thoughtful design decisions that balance simplicity, scalability, and long-term maintainability in real-world systems 
• Maintain a high bar for engineering quality through rigorous testing, code reviews, and continuous feedback 
• Investigate and resolve production issues, and implement systemic improvements to prevent recurrence 
• Work directly with clients, navigate ambiguity, and translate business problems into well-designed technical solutions 
• Contribute to improving team practices, tooling, and systems to raise the overall quality and effectiveness of engineering

Requirements

What You’ll Bring 

• 6+ years of experience building high-quality, production systems (flexible based on demonstrated capability) 
• Strong fundamentals in software engineering, including object-oriented design, system design, and testing practices such as TDD 
• Demonstrated ability to build simple, maintainable, and scalable systems with a focus on long-term reliability 
• Proficiency in one or more modern technologies React, Accessibility testing, JavaScript, or TypeScript, with the ability to learn new technologies quickly 
• Deep experience working with Git in collaborative environments, including managing shared codebases, conducting code reviews, and maintaining a high bar for quality 
• Ability to operate effectively in an AI-native workflow using AI as a collaborator to explore solutions and accelerate development, while applying strong judgment to ensure correctness, quality, and maintainability 
• Clear thinking and strong problem-solving ability, with the capacity to break down complex problems into simple, well-structured solutions 
• A strong sense of ownership — you take responsibility for outcomes, care deeply about quality, and are not comfortable shipping work that does not meet your standards.

Benefits

Life at Incubyte ​

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Benefits 

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance. 
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance 

Advanced Software Architect

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Python, Java, and Node.js, following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 8+ years in software engineering with full-stack or backend development in Python, Java, and/or Node.js.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

We are seeking a Generative AI Developer to design, build, and scale next-generation AI systems. You will go beyond simple API integration to architect RAG (Retrieval-Augmented Generation) pipelines, fine-tune LLMs (Large Language Models), and develop Agentic workflows where AI can autonomously handle multi-step tasks. You will be responsible for the "System" around the model—ensuring reliability, cost-efficiency, and ethical safety.

Responsibilities :

• Agentic Orchestration: Design and implement AI agents that use tools (APIs, databases) to solve complex, multi-step business problems.
• RAG Architecture: Build and optimize high-performance RAG pipelines using vector databases (e.g., Pinecone, Weaviate, or Milvus) to provide AI with long-term memory and factual grounding.
• Model Fine-Tuning: Customize pre-trained models (like Llama 3, GPT-4, or Claude) using techniques like LoRA and QLoRA for domain-specific accuracy.
• Prompt Engineering: Develop advanced prompt strategies (Chain-of-Thought, Few-Shot) and version-control them as first-class software artifacts.
• Evaluation & Observability: Build "Eval" frameworks to measure model performance, hallucination rates, and latency to ensure production-grade reliability.
• LLMOps & Deployment: Collaborate with DevOps to containerize (Docker/Kubernetes) and deploy models on cloud platforms (AWS Bedrock, Azure AI, or Google Vertex AI).

Required Technical Skills

• Programming: Mastery of Python (FastAPI, PyTorch, TensorFlow).
• Frameworks: Proficiency in LangChain, LlamaIndex, or Haystack.
• Vector Databases: Experience with Pinecone, FAISS, or ChromaDB.
• Model Expertise: Hands-on experience with LLMs (OpenAI, Anthropic) and Open-Source models (Mistral, Llama).
• Data Engineering: Ability to build pipelines for data cleaning, chunking, and embedding.
• Cloud Platforms: Familiarity with AI services on AWS, GCP, or Azure

Industry

• IT Services and IT Consulting

Employment Type

Full-time

Location: Remote; Geography restricted to India

Type: Full-time or Part-time Contract Work

Fluent Language Skills Required: English & Hindi. Native-level fluency in English and Hindi is required for this position.

Why This Role Exists

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. We are assembling a red team for this project - human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red team data that makes AI safer for our customers.

This project involves reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources. Before being exposed to any content, the topics will be clearly communicated.

What You’ll Do

• Red team conversational AI models and agents: jailbreaks, prompt injections, misuse cases, bias exploitation, multi-turn manipulation
• Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
• Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
• Document reproducibly: produce reports, datasets, and attack cases customers can act on

Who You Are

• You bring prior red teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
• You’re curious and adversarial: you instinctively push systems to breaking points
• You’re structured: you use frameworks or benchmarks, not just random hacks
• You’re communicative: you explain risks clearly to technical and non-technical stakeholders
• You’re adaptable: thrive on moving across projects and customers

Nice-to-Have Specialties

• Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
• Cybersecurity: penetration testing, exploit development, reverse engineering
• Socio-technical risk: harassment/disinfo probing, abuse analysis, conversational AI testing
• Creative probing: psychology, acting, writing for unconventional adversarial thinking

What Success Looks Like

• You uncover vulnerabilities automated tests miss
• You deliver reproducible artifacts that strengthen customer AI systems
• Evaluation coverage expands: more scenarios tested, fewer surprises in production
• Mercor customers trust the safety of their AI because you’ve already probed it like an adversary

Why Join Mercor

• Build experience in human data-driven AI red teaming at the frontier of safety
• Play a direct role in making AI systems more robust, safe, and trustworthy

The contract rate for this project will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work. Competitive rates commensurate with experience.

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

🧭 Tech Lead (Backend / Fullstack | 7–10 Years)

Location: Bangalore (On-Site, Hybrid)

Company Type: Public-Listed Product Company

We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.

🧩 What You’ll Do

• Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
• Design systems across backend + frontend (if fullstack)
• Translate ambiguous problems into structured technical solutions
• Drive engineering best practices, code quality, and velocity
• Mentor engineers and elevate team performance
• Collaborate with stakeholders on roadmap and execution strategy

🧠 What We’re Looking For

• Strong experience in backend systems + optional frontend frameworks
• Proven ability to lead projects and deliver at scale
• Solid understanding of system design and architecture patterns
• Ability to balance speed vs quality vs scalability trade-offs
• Strong communication and leadership without authority
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Experience leading platform builds or major system rewrites
• Exposure to AI systems, LLM integrations, or intelligent workflows
• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Background: We Commonly See (But Not Limited To)

• Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

🚨 We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.

About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.

You will be working on:

• Agentic AI systems & LLM-powered workflows
• Distributed, scalable backend systems
• Enterprise-grade AI platforms
• Automation-first engineering environments

🚀 The Mandate

Own and evolve the technical backbone of an AI-first enterprise platform.

You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.

🧩 What You’ll Do

• Architect large-scale distributed systems powering AI-driven workflows
• Lead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)
• Redesign legacy systems into scalable, modular, AI-native architectures
• Drive system design excellence across teams (APIs, infra, observability, reliability)
• Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)
• Mentor senior engineers and influence engineering culture/org standards
• Partner with product, data, and leadership on long-term technical strategy

🧠 What We’re Looking For

• Proven track record building high-scale backend or platform systems
• Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)
• Strong exposure to data systems/infra / Data / real-time architectures
• Experience or strong interest in LLMs, GenAI, or AI system design
• Exceptional system design, abstraction, and problem-solving ability
• High ownership mindset — you think in terms of systems, not tickets
• Strong coding skills in Python / Java / Go / Node.js
• Solid understanding of data structures, system design basics, and backend architecture
• Experience building scalable APIs and services
• Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
• Strong debugging, problem-solving, and ownership mindset
• Solve hard system problems (latency, scale, reliability)
• Drive cross-team technical decisions and standards
• Mentor senior engineers and influence org-wide architecture 
• Design large-scale distributed systems and backend platforms
• Mentorship & Technical Leadership 
• Expertise in system design, scalability, and performance optimization

Nice to Have

• Experience integrating LLMs, vector databases, or AI pipelines
• Contributions to architecture at scale
• Experience with Agentic AI / LLM orchestration frameworks
• Background in product engineering or platform companies
• Exposure to global-scale systems (millions of users / high throughput)

🔥 What Sets You Apart

• Built platforms used by millions of users / high-throughput systems
• Experience with event-driven systems, stream processing, or infra platforms
• Prior work on AI/ML platforms, model serving, or intelligent systems

Job Details

- Job Title: Director of Engineering

- Industry: SAAS

- Function – Information Technology

- Experience Required: 9-14 years

- Working Days: 6 days

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: TypeScript, AWS, NodeJS, mongodb, React.js, WebGL, Three.js, AI/ML, Docker,nKubernetes

Criteria

Candidate must be having 9+ years of engineering experience, with 3u20134 years in technical leadership

Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

Ability to design scalable architectures for high-performance systems.

Should have AI/ML deployment experience

Strong 3D graphics/WebGL/Three.js knowledge.

Candidates should be from SAAS/Software/IT Services based startups or scaleup companies only

Job Description

The Role:

Company is hiring a hands-on Director of Engineering who codes, architects systems, and builds teams. You’ll set the technical foundation, drive engineering excellence, and own the architecture of our AI, 3D, and XR platform.

This is not a pure management role - expect to spend 50–60% of your time writing code, solving deep technical problems, and owning mission-critical systems. As we scale, this role transitions into CTO, taking full ownership of technical vision and long-term strategy. 

What You’ll Own:

1. Technical Leadership & Architecture

● Architect company’s full-stack platform across frontend, backend, infrastructure, and AI.

● Scale core systems: VersaAI engine, rendering pipeline, AR deployment, analytics.

● Make decisions on stack, scalability patterns, architecture, and technical debt.

● Own design for high-performance 3D asset processing, real-time rendering, and ML deployment.

● Lead architectural discussions, design reviews, and set engineering standards.

2. Hands-On Development

● Write production-grade code across frontend, backend, APIs, and cloud infra.

● Build critical features and core system components independently.

● Debug complex systems and optimize performance end-to-end.

● Implement and optimize AI/ML pipelines for 3D generation, CV, and recognition.

● Build scalable backend services for large-scale asset processing and real-time pipelines.

● Develop WebGL/Three.js rendering and AR workflows.

3. Team Building & Engineering Management

● Hire and grow a team of 5–8 engineers initially (scaling to 15–20).

● Establish engineering culture, values, and best practices.

● Build career frameworks, performance systems, and growth plans.

● Conduct 1:1s, mentor engineers, and drive continuous improvement.

● Set up processes for agile execution, deployments, and incident response.

4. Product & Cross-Functional Collaboration

● Work with the founder and product team on roadmap, feasibility, and prioritization.

● Translate product requirements into technical execution plans.

● Collaborate with design for UX quality and technical alignment.

● Support sales and customer success with integrations and technical discussions.

● Contribute technical inputs to product strategy and customer-facing initiatives.

5. Engineering Operations & Infrastructure

● Own CI/CD, testing frameworks, deployments, and automation.

● Create monitoring, logging, and alerting setups for reliability.

● Manage AWS infrastructure with a focus on cost and performance.

● Build internal tools, documentation, and developer workflows.

● Ensure enterprise-grade security, compliance, and reliability.

Tech Stack:

1. Frontend

React.js, Next.js, TypeScript, WebGL, Three.js

2. Backend

Node.js, Python, Express/FastAPI, REST, GraphQL

3. AI/ML

PyTorch, TensorFlow, CV models, Stable Diffusion, LLMs, ML pipelines

4. 3D & Graphics

Three.js, WebGL, Babylon.js, glTF, USDZ, rendering optimization

5. Databases

PostgreSQL, MongoDB, Redis, vector databases

6. Cloud & Infra

AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes CI/CD: GitHub Actions

Monitoring: Datadog, Sentry

What We’re Looking For:

1. Must-Haves

● 9+ years of engineering experience, with 3–4 years in technical leadership.

● Deep full-stack experience with strong system design fundamentals.

● Proven success building products from 0→1 in fast-paced environments.

● Hands-on expertise with React/Next.js, Node.js/Python, and AWS.

● Ability to design scalable architectures for high-performance systems.

● Strong people leadership with experience hiring and mentoring teams.

● Ready to code, review, design, and lead from the front.

● Startup mindset: fast execution, problem-solving, ownership.

2. Highly Desirable

● AI/ML deployment experience (CV, generative AI, 3D reconstruction).

● Strong 3D graphics/WebGL/Three.js knowledge.

● Experience with real-time systems, rendering optimizations, or large-scale pipelines.

● Background in B2B SaaS, XR, gaming, or immersive tech.

● Experience scaling engineering teams from 5 → 20+.

● Open-source contributions or technical content creation.

● Experience working closely with founders or executive leadership.

Why Company:

● Hard, meaningful engineering problems at the intersection of AI, 3D, XR, and web tech.

● Build from day zero – architecture, team, and culture.

● Path to CTO as the company scales.

● High autonomy to drive technical decisions.

● Direct founder collaboration on product vision.

● High ownership, high-growth environment.

● Backed by global leaders: Microsoft, Google, NVIDIA, AWS.

Location & Work Culture:

● Location: HSR Layout, Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: High-intensity, high-integrity, engineering-first

● Team: Young, ambitious, technically strong

Experience: Experience: 10+ years of experience in software development & project management, with specialization in AI/ML

Qualification: B.E/B.Tech

Location: Pune

Role Overview

We are seeking a Head of AI Center of Excellence to execute our enterprise AI strategy. This role will be responsible for designing and delivering agentic AI systems and production-grade AI solutions, while driving rapid experimentation and pilot-ready proof-of-concepts in a fast-paced environment.

·    Required Qualifications:

• 10+ years of overall software development & management experience with 5+ years of hands-on experience in AI/ML system design and development
• Experience with technical project management; managing a team of AI/ML engineers across multiple projects
• Proven expertise in:
• Agentic AI architectures, LLM-based systems, and orchestration frameworks
• ML/DL model development, training, fine-tuning, and evaluation
• MLOps, model deployment, monitoring, and lifecycle management
• Strong proficiency in Python and modern AI/ML frameworks (e.g., LangGraph, PyTorch, TensorFlow, Hugging Face)
• Experience with cloud platforms and AI services (AWS, Azure, or GCP)
• Demonstrated ability to deliver pilot-ready AI PoCs quickly and effectively

Job Title: Senior Data Scientist

Location: Pune

Job Type: Full-Time

About TVARIT

TVARIT GmbH specializes in developing and delivering cutting-edge artificial intelligence (AI) solutions for the metal industry, including steel, aluminum, copper, cast iron, and more. Our software products empower customers to make intelligent, data-driven decisions, driving advancements in Predictive Quality (PsQ), Predictive Maintenance (PdM), and Energy Consumption Reduction (PsE), etc.

With a strong portfolio of renowned reference customers, state-of-the-art technology, a talented research team from prestigious universities, and recognition through esteemed awards such as the EU Horizon 2020 AI Prize, TVARIT is recognized as one of the most innovative AI companies in Germany and Europe.

We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.

About the Role

We are looking for a highly skilled and motivated Senior Data Scientist who is passionate about solving complex data problems and developing cutting-edge solutions. This role requires someone with a strong technical background in data science, with full-stack development exposure from requirement gathering to solution deployment. The ideal candidate will be comfortable working as an individual contributor and as an active team member.

Key Responsibilities

· Translate business challenges into ML solutions by understanding customer needs and the broader context.

· Perform exploratory data analysis (EDA) and feature engineering on large-scale datasets.

· Write clean, efficient, and maintainable Python code for data processing, modeling, and analysis, following MLOps best practices.

· Build, optimize, deploy, and monitor scalable machine learning models and pipelines on cloud platforms (Azure preferred; AWS/GCP is a plus)

· Actively participate in code reviews, technical discussions, and knowledge-sharing sessions to drive innovation and best practices.

· Lead client discussions and present actionable insights and recommendations to stakeholders effectively.

· Mentor junior data scientists, providing guidance on model development, best practices, and technical problem-solving.

Qualifications

· Bachelor’s or master's degree in Metallurgy, mechanical, IT, Computer, or a related field from IIT, NIT, or top university.

· 4+ years of experience in data science and machine learning.

· Experience in the metal industry, manufacturing industry, or similar industry exposure

Technical Skills

· Strong Python programming skills with experience in libraries like Pandas, Scikit-learn, TensorFlow, or PyTorch.

· Strong foundation in ML & AI, covering statistical analysis, time series forecasting, deep learning, and optimization, with expertise in ML techniques like Random Forest, Gradient Boosting, Neural Networks, SVM, Clustering, PCA, Reinforcement Learning and and optimization algorithms.

· Proficiency in cloud platforms such as Azure [Preferred], AWS, or GCP.

· Good to have experience with real-time AI model deployment in industrial environments [On-premises, cloud or edge]

· Familiar with SQL and NoSQL databases.

· Understanding of MLOps, including model versioning, monitoring, and deployment.

· Good to have knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI is plus

· Strong analytical and problem-solving skills with a structured approach to debugging and optimization.

· Effective communicator and team collaborator in agile, fast-paced environments.

· Ability to work in a fast-paced, agile environment and adapt to changing priorities.

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

We are looking for a highly skilled AI Platform Engineer to build and scale agentic AI capabilities across our product suite. You’ll work on multi‑agent systems, orchestration platforms, RAG pipelines, and real‑time AI services used in enterprise workflows.

🔹 Key Responsibilities

• Build and maintain AI platform services enabling agentic workflows
• Develop domain-specific agents (proposal generation, compliance, data analysis)
• Implement multi-agent orchestration using LangGraph and related frameworks
• Build APIs, SDKs, and integration layers for product teams
• Design and optimize RAG, GraphRAG, and knowledge ingestion pipelines
• Enhance orchestration platforms, WebSocket communication, and error recovery
• Optimize performance, latency (<3s), cost, and reliability of AI systems
• Collaborate closely with ML engineers and data scientists on models, prompts, and A/B testing

🔹 Required Skills & Experience

• 5+ years of software engineering experience (1–2+ years in AI/ML systems)
• Strong Python (FastAPI, async, LangChain/LangGraph)
• Experience with LLM APIs (OpenAI, Claude, Llama, Phi‑3)
• Hands-on RAG, embeddings, vector databases, and hybrid search
• React + TypeScript experience (WebSockets, hooks, real-time UI)
• Knowledge of multi-agent systems, prompt engineering, and orchestration patterns
• Solid backend fundamentals: REST APIs, databases, auth, testing, Git

🔹 Nice to Have

• MLOps exposure (prompt versioning, monitoring, A/B testing)
• Experience with semantic caching and context management
• Docker and cloud deployment basics

AI Lead (Backend Systems & Architecture)

This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role.

At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise—someone who can design, scale, and take complete ownership of intelligent systems end-to-end.

You will operate at the intersection of backend engineering, distributed systems, and applied AI, driving both technical direction and execution.

What You’ll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
• Own systems end-to-end: architecture, development, deployment, and scaling
• Build reliable, high-performance distributed systems
• Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
• Lead backend and AI initiatives with strong technical ownership
• Ensure performance, scalability, observability, and cost efficiency
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to build AI-native solutions

What We’re Looking For

• Proven experience in architecting and scaling backend systems end-to-end
• Strong expertise in Python (Django / Flask / FastAPI)
• Deep understanding of distributed systems and system design
• Hands-on experience with AWS or GCP in production environments
• Solid experience working with LLMs (Claude, GPT, etc.)
• Strong knowledge of:
• Retrieval-Augmented Generation (RAG)
• Vector databases (Pinecone, FAISS, Weaviate, etc.)
• Experience in building and managing microservices architectures
• Ability to lead teams, mentor engineers, and drive technical excellence
• Strong problem-solving skills with an ownership mindset

Nice to Have

• Experience building AI agents or autonomous systems
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• Understanding of MLOps and AI system lifecycle
• Experience optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable in fast-moving, ambiguous environments
• You stay updated with the latest advancements in AI and backend technologies

This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.

About Antier Solutions

Antier Solutions is a global blockchain development company delivering innovative decentralized solutions and emerging technology services across industries. As we expand our AI capabilities, we are committed to building intelligent, scalable, and enterprise-grade AI systems that seamlessly integrate with Web3, FinTech, and other enterprise ecosystems.

Role Overview

We are seeking a highly skilled AI Solution Architect to lead the design and deployment of advanced AI-driven systems. The ideal candidate will be responsible for architecting end-to-end AI solutions, integrating large language models (LLMs), designing intelligent automation frameworks, and collaborating with cross-functional teams to deliver scalable AI platforms. This role demands deep technical expertise, strong architectural thinking, and hands-on implementation across AI/ML, cloud, and modern application stacks.

Key Responsibilities

• Design and architect scalable AI/ML solutions aligned with business objectives.
• Lead end-to-end solution design for LLM-based applications and enterprise AI platforms.
• Develop intelligent automation systems leveraging advanced reasoning and multi-step workflow orchestration.
• Architect conversational AI systems, recommendation engines, predictive analytics, and AI-powered decision systems.
• Define AI governance, model lifecycle management, monitoring, and MLOps strategies.
• Collaborate with engineering teams for implementation, deployment, and optimization.
• Design AI microservices architectures using modern backend frameworks.
• Work closely with product, blockchain, and Web3 teams to integrate AI capabilities into decentralized ecosystems.
• Evaluate and select appropriate AI frameworks, tools, and cloud services.
• Provide technical leadership, mentorship, and architectural guidance to cross-functional teams

Required Skills & Expertise

Core AI & ML

• Strong experience in Machine Learning, Deep Learning, NLP, and Generative AI.
• Hands-on experience with LLMs (OpenAI, open-source models, fine-tuning, prompt engineering).
• Experience designing systems capable of autonomous task execution and decision workflows.
• Strong understanding of vector databases, embeddings, and RAG pipelines.

Architecture & Engineering

• Experience designing distributed systems and microservices architecture.
• Strong knowledge of Python, FastAPI/Flask, and relevant AI frameworks (TensorFlow, PyTorch, LangChain, etc.).
• Experience building scalable APIs and AI backend systems.
• Strong understanding of system design, performance tuning, and scalability

Cloud & DevOps

• Experience with AWS/Azure/GCP AI services.
• Experience with containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and MLOps frameworks.
• Experience implementing AI monitoring and observability practices.

Data Engineering

• Experience working with large datasets, ETL pipelines, and real-time processing.
• Familiarity with vector databases and knowledge graphs.

Good to Have

• Experience integrating AI within blockchain/Web3 ecosystems.
• Exposure to intelligent multi-agent or orchestrated AI systems.
• Understanding of AI security, compliance, and ethical AI practices.
• Experience in enterprise AI transformation projects.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• 8+ years of experience in software engineering.
• 4+ years in AI/ML solution design and architecture roles.

What We Offer

• Opportunity to lead AI innovation in a fast-growing tech environment.
• Work on cutting-edge AI + Web3 integrations.
• High ownership, autonomy, and architectural leadership in a collaborative setting.
• Competitive compensation and benefits.

On-site collaboration in Mohali's innovation hub, with flexibility options where applicable

Senior Quality Engineer – AI Products

Fulltime

Remote

Requirements

● 3-7 years of experience in software quality engineering, preferably in SaaS environments with a platform or infrastructure focus.

● Strong demonstrated experience testing distributed systems, APIs, data pipelines, or cloud-based infrastructure.

● Experience designing and executing test plans for AI/ML systems, data pipelines, or shared platform services.

● Familiarity with AI/LLM infrastructure concepts such as retrieval-augmented generation (RAG), vector search, model routing, and observability.

● Strong demonstrated proficiency in Linux distributions and CLI-based testing, including log file analysis and other troubleshooting tasks.

● Experience with AWS or other major cloud platforms.

● Basic Python/Shell scripting knowledge with ability to edit existing scripts and create new automation for pipeline validation.

● Advanced skills with API and SQL testing methodologies.

● Familiarity with test management tools such as TestRail; experience with Qase is a plus.

● Demonstrated experience leveraging Version Control Systems with a focus on GitHub.

● Experience with testing tools: Jira, Sentry, DataDog.

● Strong understanding of Agile/Scrum methodologies.

● Proven track record of mentoring junior engineers and contributing to process improvements.

● Excellent analytical and problem-solving abilities.

● Strong communication skills with ability to present to both technical and non-technical stakeholders.

● Proficiency in English (C1-C2 level).

● Most importantly: The courage to be vocal about quality concerns, platform risks, and testing impediments.

Preferred Qualifications

● Experience with AI/ML evaluation frameworks or tools (e.g., LLM-as-judge, Ragas, custom eval harnesses).

● Hands-on experience with document parsing, OCR, or unstructured data pipelines.

● Experience with observability tooling (e.g., Datadog, Grafana, OpenTelemetry) from a QA perspective.

● Experience testing SaaS products in regulated industries (such as PCI-compliant).

● Basic understanding of containerization, Kubernetes, and CI/CD pipelines (Jenkins, CircleCI).

● Experience with microservice architectures and distributed systems.

● Knowledge of basic non-functional testing (security, performance) with emphasis on AI-specific concerns.

● Background in security or compliance testing for AI systems.

● Certifications such as ISTQB or CSTE.

● Experience working in legal technology, fintech, or professional services software.

● Familiarity with AI-assisted testing tools and leveraging LLMs as a productivity-boosting tool.

● Experience evaluating and implementing new QE tools and processes

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-driven organization focused on developing modern digital solutions and scalable web applications. Our teams work on innovative projects involving web development, cloud technologies, automation tools, and AI-powered platforms designed to solve real-world business challenges.

We are looking for motivated Full Stack Web Developer Interns who are eager to gain hands-on experience in building modern web applications and working with real-world development workflows.

Internship Responsibilities

• Assist in developing responsive and interactive web applications
• Work on frontend development using technologies such as HTML, CSS, JavaScript, and modern frameworks
• Support backend development using technologies such as Node.js, Python, PHP, or similar platforms
• Develop and integrate REST APIs for web applications
• Participate in debugging, testing, and optimizing application performance
• Collaborate with design and development teams on project requirements
• Contribute to building scalable and user-friendly web platforms

Required Skills

• Basic understanding of HTML, CSS, and JavaScript
• Knowledge of web development fundamentals
• Familiarity with frontend frameworks such as React, Angular, or Vue.js is a plus
• Basic understanding of backend development or APIs
• Understanding of databases such as MySQL, MongoDB, or similar
• Good problem-solving and analytical skills
• Ability to learn quickly and work in a team environment

Preferred Qualifications

• Students or recent graduates in Computer Science, IT, Software Engineering, or related fields
• Basic knowledge of Full Stack development
• Familiarity with Git or version control systems
• Exposure to cloud platforms or deployment tools is beneficial
• Interest in modern web technologies and scalable applications

What Interns Will Gain

• Hands-on experience working on real-world web development projects
• Exposure to modern full stack development workflows
• Opportunity to build a strong portfolio of development projects
• Mentorship from experienced developers
• Internship completion certificate based on performance and participation

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-driven organization focused on developing intelligent software solutions using Artificial Intelligence, Machine Learning, and advanced data technologies. Our teams work on innovative projects involving data analysis, predictive modeling, automation systems, and AI-powered applications designed to solve real-world business problems.

We are seeking passionate and motivated Artificial Intelligence & Machine Learning Interns who want to gain hands-on experience working on practical AI development projects.

Internship Responsibilities

• Assist in developing and implementing machine learning models
• Work on data preprocessing, data analysis, and model training
• Support AI projects involving predictive analytics, automation, and intelligent systems
• Use Python libraries such as NumPy, Pandas, Scikit-learn, or TensorFlow
• Participate in testing and improving model performance
• Collaborate with development teams on AI-based applications
• Document project workflows and research findings

Required Skills

• Basic knowledge of Python programming
• Understanding of Machine Learning concepts
• Familiarity with data analysis and statistics
• Basic experience with libraries such as Pandas, NumPy, or Scikit-learn
• Interest in Artificial Intelligence technologies
• Good analytical and problem-solving skills

Preferred Qualifications

• Students or recent graduates in Computer Science, Artificial Intelligence, Data Science, or related fields
• Basic knowledge of Deep Learning or Neural Networks
• Familiarity with TensorFlow, PyTorch, or similar frameworks is a plus
• Understanding of data visualization tools is beneficial
• Experience with Git or version control systems is an advantage

What Interns Will Gain

• Hands-on experience working on AI and machine learning projects
• Exposure to real-world datasets and model development
• Opportunity to build a strong AI project portfolio
• Mentorship from experienced developers and data scientists
• Internship completion certificate based on performance and participation

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-focused organization working on modern digital solutions that combine web development and artificial intelligence technologies. Our teams build scalable web platforms, automation tools, and AI-powered applications designed to improve user experiences and business efficiency.

We are looking for enthusiastic Web Developer Interns with an interest in AI integration who want to gain hands-on experience working on modern web technologies and real-world development projects.

Internship Responsibilities

• Assist in developing responsive and dynamic websites using HTML, CSS, JavaScript, and modern frameworks
• Support backend development using technologies such as Node.js, Python, or similar tools
• Work on AI integration in web applications, including APIs and automation features
• Participate in developing full-stack web applications
• Debug, test, and optimize web applications for performance and scalability
• Collaborate with designers and developers on project tasks
• Contribute to building AI-enabled web features such as chatbots, recommendation systems, or smart dashboards

Required Skills

• Basic knowledge of HTML, CSS, and JavaScript
• Understanding of web development fundamentals
• Familiarity with frontend frameworks (React, Angular, or similar) is a plus
• Basic knowledge of backend development or APIs
• Interest in Artificial Intelligence and AI-powered web technologies
• Strong problem-solving and analytical skills
• Ability to learn quickly and work in a collaborative environment

Preferred Qualifications

• Students or recent graduates in Computer Science, IT, Software Engineering, or related fields
• Basic understanding of full stack development
• Familiarity with Git or version control systems
• Exposure to AI tools, APIs, or machine learning concepts is beneficial

What Interns Will Gain

• Hands-on experience working on live web development projects
• Exposure to AI-powered web applications
• Practical experience in modern full-stack development workflows
• Mentorship from experienced developers
• Internship completion certificate based on performance and participation

About The Nexora Group Inc.

The Nexora Group Inc. is a technology-driven organization focused on building intelligent digital solutions using modern software engineering and artificial intelligence technologies. Our teams work on projects involving data-driven applications, automation systems, and AI-powered tools designed to solve real-world business challenges.

We are looking for motivated and enthusiastic Python Developer Interns with an interest in Artificial Intelligence who want to gain practical experience working on live development projects.

Internship Responsibilities

• Assist in developing backend applications using Python
• Work on AI-related modules such as machine learning models, data processing pipelines, and automation tools
• Write clean, scalable, and well-documented code
• Support the development of APIs and backend services
• Participate in debugging, testing, and performance optimization
• Collaborate with development teams on project tasks and deliverables
• Contribute to research and implementation of AI/ML solutions

Required Skills

• Basic understanding of Python programming
• Familiarity with data structures and algorithms
• Interest in Artificial Intelligence and Machine Learning
• Basic knowledge of NumPy, Pandas, or similar Python libraries
• Understanding of REST APIs is a plus
• Strong problem-solving skills
• Ability to learn quickly and work in a collaborative environment

Preferred Qualifications

• Students or recent graduates in Computer Science, IT, Data Science, or related fields
• Basic knowledge of Machine Learning concepts
• Experience with Git or version control systems is beneficial
• Familiarity with Flask, Django, or FastAPI is a plus

What Interns Will Gain

• Hands-on experience working on real-world development projects
• Exposure to AI and machine learning development workflows
• Mentorship from experienced developers
• Opportunity to build a strong portfolio with practical project experience
• Internship completion certificate based on performance and participation

Job Title: Sales Development Representative (SDR)

Location: Remote

Reports to: Account Executive

About Snapsight

Snapsight is an AI-powered platform that enhances event experiences through real-time content summarization and insights. We cater to event professionals by offering features like idea clouds, QR code integration, and competitive intelligence to simplify and elevate the experience at any event. With a strong presence in APAC, we are now expanding into North America and Europe, and we’re seeking skilled SDRs to help drive this growth.

Role Overview

As an SDR at Snapsight, you will be the first point of contact for potential customers, engaging key stakeholders in the events industry across the US and Europe. Your efforts will lay the foundation for successful sales cycles by identifying and qualifying prospects that can benefit from our event technology solutions.

Responsibilities:

• Conduct high-volume outbound prospecting to identify and engage event organizers and technology decision-makers.
• Use platforms like Outreach, Clay, and our CRM system to streamline and enhance outreach processes.
• Qualify leads through research and outreach efforts to ensure alignment with Snapsight’s target audience in the events industry.
• Build relationships with prospects, nurturing them until they are ready for handoff to our Account Executives.
• Collaborate closely with our Account Executives to ensure alignment on market insights and prospecting strategies.

Requirements:

Experience: 2-3 years of outbound sales experience, specifically in the US and European markets.

Industry Knowledge: Background in the events industry or event technology, with a deep understanding of the challenges and opportunities in this field.

Tool Proficiency: Hands-on experience with outbound tools like Outreach, Clay, and CRM platforms (e.g., Salesforce, HubSpot).

Skills: Strong communication, active listening, and relationship-building abilities. Proven track record of meeting and exceeding KPIs.

What We Offer:

• Opportunity to join a high-growth company in the event tech space and help shape its expansion into new markets.
• Competitive salary and commission structure.
• Access to the latest tools and resources to support your success.