50+ Artificial Intelligence (AI) Jobs in India

Artificial Intelligence Research Intern 

We are looking for a passionate and skilled AI Intern to join our dynamic team for a 6-month full-time internship. This is an excellent opportunity to work on cutting-edge technologies in Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing (NLP), contributing to real-world projects that create a tangible impact. 

Key Responsibilities: 

• Research, design, develop, and implement AI and Deep Learning algorithms. 

• Work on NLP systems and models for tasks such as text classification, sentiment analysis, and 

data extraction. 

• Evaluate and optimize machine learning and deep learning models. 

• Collect, process, and analyze large-scale datasets. 

• Use advanced techniques for text representation and classification. 

• Write clean, efficient, and testable code for production-ready applications. 

• Perform web scraping and data extraction using Python (requests, BeautifulSoup, Selenium, APIs, etc.). 

• Collaborate with cross-functional teams and clearly communicate technical concepts to both technical and non-technical audiences. 

Required Skills and Experience: 

• Theoretical and practical knowledge of AI, ML, and DL concepts. 

• Good Understanding of Python and libraries such as:TensorFlow, PyTorch, Keras, Scikit-learn, Numpy, Pandas, Scipy, Matplotlib NLP tools like NLTK, spaCy, etc. 

• Strong understanding of Neural Network Architectures (CNNs, RNNs, LSTMs). 

• Familiarity with data structures, data modeling, and software architecture. 

• Understanding of text representation techniques (n-grams, BoW, TF-IDF, etc.). 

• Comfortable working in Linux/UNIX environments. 

• Basic knowledge of HTML, JavaScript, HTTP, and Networking. 

• Strong communication skills and a collaborative mindset. 

Job Type: Full-Time Internship 

Location: In-Office (Bhayander) 

Please note: Candidates who have applied in the last 6 months are requested not to reapply

Position Overview:

We are looking for an experienced Senior Laravel Developer who thrives in a fast-paced environment and has experience handling multiple projects and diverse interfaces. The ideal candidate will lead the development and maintenance of applications, ensuring security, scalability, and seamless third-party integrations while collaborating with front-end developers, UX/UI designers, and key stakeholders.

Requirements:

- Experience: Approx.1 year to 6 years in PHP development with a focus on Laravel & MySQL.

- Deep understanding of Laravel architecture (Service Container, Service Providers, Facades,

Eloquent ORM, Queues, Jobs, Events, Middleware, Broadcasting, and Caching).

- Front-End: Proficiency in HTML5, CSS3, Bootstrap 5, jQuery, AJAX

- Version Control & Tools: Experience with Git, JIRA, AWS SDK

- Payment Integrations: At least one payment gateway (e.g., Stripe, Braintree, Plaid, Razorpay)

- Third-Party API Integrations: Experience with Firebase, Google Maps, Email/SMS services

- Work Environment: Ability to work in a fast-paced, high-performance setting and efficiently manage multiple projects and interfaces

- Experience with Laravel Sanctum/Passport for authentication and API security.

- REST API development & documentation (Apiary)

Good to Have:

- Experience with multiple databases (MySQL, PostgreSQL, MongoDB)

- Basic knowledge of AWS services (S3, EC2, RDS, SES)

- Understanding of encryption, hashing, encoding (SES, SHA, RSA)

- Experience integrating Stripe Payment Gateway

-Experience working on AI/ML-based projects or research

-Exposure to AI models with applications (e.g., using APIs or SDKs)

Job Details:

Job Type: Full-time

Salary: 5,00,000 - 20,00,000 per year

Schedule: Monday - Friday

Location: Balewadi-Baner Road, Pune (In-Person Only)

Job Type: Full-time

Benefits:

• Flexible schedule
• Paid time off

Experience:

• Total work: 5 years (Required)
• Laravel: 5 years (Required)

Work Location: In person

Job Title: AI/ML Engineer – Voice (2–3 Years)

Location: Bengaluru (On-site)

Employment Type: Full-time

About Impacto Digifin Technologies

Impacto Digifin Technologies enables enterprises to adopt digital transformation through intelligent, AI-powered solutions. Our platforms reduce manual work, improve accuracy, automate complex workflows, and ensure compliance—empowering organizations to operate with speed, clarity, and confidence.

We combine automation where it’s fastest with human oversight where it matters most. This hybrid approach ensures trust, reliability, and measurable efficiency across fintech and enterprise operations.

Role Overview

We are looking for an AI Engineer Voice with strong applied experience in machine learning, deep learning, NLP, GenAI, and full-stack voice AI systems.

This role requires someone who can design, build, deploy, and optimize end-to-end voice AI pipelines, including speech-to-text, text-to-speech, real-time streaming voice interactions, voice-enabled AI applications, and voice-to-LLM integrations.

You will work across core ML/DL systems, voice models, predictive analytics, banking-domain AI applications, and emerging AGI-aligned frameworks. The ideal candidate is an applied engineer with strong fundamentals, the ability to prototype quickly, and the maturity to contribute to R&D when needed.

This role is collaborative, cross-functional, and hands-on.

Key Responsibilities

Voice AI Engineering

• Build end-to-end voice AI systems, including STT, TTS, VAD, audio processing, and conversational voice pipelines.
• Implement real-time voice pipelines involving streaming interactions with LLMs and AI agents.
• Design and integrate voice calling workflows, bi-directional audio streaming, and voice-based user interactions.
• Develop voice-enabled applications, voice chat systems, and voice-to-AI integrations for enterprise workflows.
• Build and optimize audio preprocessing layers (noise reduction, segmentation, normalization)
• Implement voice understanding modules, speech intent extraction, and context tracking.

Machine Learning & Deep Learning

• Build, deploy, and optimize ML and DL models for prediction, classification, and automation use cases.
• Train and fine-tune neural networks for text, speech, and multimodal tasks.
• Build traditional ML systems where needed (statistical, rule-based, hybrid systems).
• Perform feature engineering, model evaluation, retraining, and continuous learning cycles.

NLP, LLMs & GenAI

• Implement NLP pipelines including tokenization, NER, intent, embeddings, and semantic classification.
• Work with LLM architectures for text + voice workflows
• Build GenAI-based workflows and integrate models into production systems.
• Implement RAG pipelines and agent-based systems for complex automation.

Fintech & Banking AI

• Work on AI-driven features related to banking, financial risk, compliance automation, fraud patterns, and customer intelligence.
• Understand fintech data structures and constraints while designing AI models.

Engineering, Deployment & Collaboration

• Deploy models on cloud or on-prem (AWS / Azure / GCP / internal infra).
• Build robust APIs and services for voice and ML-based functionalities.
• Collaborate with data engineers, backend developers, and business teams to deliver end-to-end AI solutions.
• Document systems and contribute to internal knowledge bases and R&D.

Security & Compliance

• Follow fundamental best practices for AI security, access control, and safe data handling.
• Awareness of financial compliance standards (plus, not mandatory).
• Follow internal guidelines on PII, audio data, and model privacy.

Primary Skills (Must-Have)

Core AI

• Machine Learning fundamentals
• Deep Learning architectures
• NLP pipelines and transformers
• LLM usage and integration
• GenAI development
• Voice AI (STT, TTS, VAD, real-time pipelines)
• Audio processing fundamentals
• Model building, tuning, and retraining
• RAG systems
• AI Agents (orchestration, multi-step reasoning)

Voice Engineering

• End-to-end voice application development
• Voice calling & telephony integration (framework-agnostic)
• Realtime STT ↔ LLM ↔ TTS interactive flows
• Voice chat system development
• Voice-to-AI model integration for automation

Fintech/Banking Awareness

• High-level understanding of fintech and banking AI use cases
• Data patterns in core banking analytics (advantageous)

Programming & Engineering

• Python (strong competency)
• Cloud deployment understanding (AWS/Azure/GCP)
• API development
• Data processing & pipeline creation

Secondary Skills (Good to Have)

• MLOps & CI/CD for ML systems
• Vector databases
• Prompt engineering
• Model monitoring & evaluation frameworks
• Microservices experience
• Basic UI integration understanding for voice/chat
• Research reading & benchmarking ability

Qualifications

• 2–3 years of practical experience in AI/ML/DL engineering.
• Bachelor’s/Master’s degree in CS, AI, Data Science, or related fields.
• Proven hands-on experience building ML/DL/voice pipelines.
• Experience in fintech or data-intensive domains preferred.

Soft Skills

• Clear communication and requirement understanding
• Curiosity and research mindset
• Self-driven problem solving
• Ability to collaborate cross-functionally
• Strong ownership and delivery discipline
• Ability to explain complex AI concepts simply

Job Title: Video Editor Intern

Location: Bengaluru, India

Experience: 0–1 Year (Internship)

Employment Type: Internship

Company Overview

IAi Solution Pvt Ltd, operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.

Position Summary

We are seeking a Video Editor Intern to support our creative team in producing short-form and long-form video content. The intern will assist in scripting, editing, and publishing engaging video narratives that reflect Big Air Lab’s brand identity. This role is ideal for students or early-career professionals who want hands-on exposure to AI-driven video storytelling and digital media production.

Key Responsibilities

• Assist in producing daily short-form videos (20–30 seconds) covering AI news and updates.
• Support creation of long-form content such as podcasts, explainers, and product demos.
• Script, shoot, and edit videos using professional editing tools under guidance.
• Ensure video content aligns with Big Air Lab’s brand identity and storytelling tone.
• Collaborate with design, product, and AI research teams to represent features accurately.
• Experiment with meme-driven or trend-based formats to boost organic reach.
• Prepare weekly reports on video output, performance metrics, and planned content.

Qualifications

• Currently pursuing or recently completed a degree/diploma in Media, Design, Film Studies, or related fields.
• Strong interest in AI, technology, and digital storytelling.
• Basic knowledge of video editing tools (Premiere Pro, Final Cut, DaVinci Resolve, or similar).
• Familiarity with social media video formats and trends.

Must-Have Skills

• Video editing, scripting, camera handling basics, creative storytelling.

Good-to-Have Skills

• Knowledge of animation/motion graphics tools (After Effects, Canva, etc.).
• Familiarity with podcast production or long-form video editing.
• Understanding of AI/tech concepts for simplified storytelling.

Perks & Benefits

• Hands-on experience with cutting-edge AI video production.
• Mentorship from experienced professionals in creative and product teams.
• Opportunity to experiment with new formats and creative ideas.
• Flexible working hours and collaborative environment.
• Certificate of Internship and potential for full-time opportunities.

Job Description – Senior Marketing Leader / Head of Marketing (IntraIntel.ai, Global)

About IntraIntel.ai

IntraIntel.ai is an enterprise AI platform for intelligent workflow automation, delivering instant intelligence from organizational data without migration. The platform’s multi‑agent architecture automates complex workflows in healthcare, manufacturing, finance and research, reducing manual effort and generating significant cost savings. We partner with customers across sectors to deploy AI agents that generate deep insights, automate compliance, and streamline operations.

Role Summary

The Marketing Executive will own IntraIntel.ai’s market strategy and execution in India, working as part of a global marketing team. This position requires a strategic thinker and hands‑on leader who can craft compelling narratives about end‑to‑end AI platform value, identify high‑potential customer segments, and drive demand generation across channels.

Key Responsibilities

• GTM Strategy & Positioning: Develop and execute a data‑driven marketing strategy that aligns IntraIntel’s AI‑native platform and multi‑agent architecture with market needs Define triggers and leading indicators for pipeline creation, including industry events, regulatory deadlines, and emerging technology trends.
• 
  
• Segmentation & Targeting: Identify and prioritize verticals (healthcare, clinical trials, finance, manufacturing, textiles, etc.) where the platform’s workflow automation and cost‑reduction capabilities offer maximum benefit. Develop buyer personas (C‑suite, clinical leaders, compliance officers, manufacturing heads) and craft tailored messaging.
• 
  
• Channel & Campaign Management: Determine the optimal mix of channels (digital marketing, content, partnerships, events, thought leadership) to reach decision‑makers. Build multi‑channel campaigns and refine them through ongoing analysis
• 
  
• Demand Generation & Lead Nurturing: Drive inbound and outbound marketing programs to build a qualified pipeline; use marketing automation and CRM tools to track conversions, nurture leads and measure ROI.
• 
  
• Product Marketing & Storytelling: Translate complex AI concepts (LLMs, agents, vector search, RAG) into clear value propositions. Create collateral, case studies, demos, webinars and industry presentations that showcase the platform’s ability to consolidate siloed AI tools into a single end‑to‑end solution.
• 
  
• Sales Enablement & Customer Engagement: Work closely with sales and solution engineering to enable smooth handoffs. Support customer conversations, demo sessions and proof‑of‑concept engagements. Become a trusted advisor to prospects by understanding their business and identifying fit.
• 
  
• Partnerships & Relationship Development: Build relationships with industry associations, channel partners, and potential enterprise customers in India, the U.S. and Dubai. Bring existing executive‑level connections to accelerate market entry and establish IntraIntel’s reputation.
• 
  
• Market Intelligence & Competitive Analysis: Monitor competitive offerings, industry regulations and emerging AI technologies. Generate insights that influence product strategy and roadmap
• 
  
• Performance Measurement: Define key performance indicators (KPIs) for lead generation, conversion, revenue, brand awareness and customer satisfaction. Report regularly on marketing performance and adjust tactics to meet targets.
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Qualifications

• Proven Marketing Leadership: 8–12 years in B2B SaaS marketing, including at least 3–5 years owning GTM strategy and execution. Demonstrated ability to develop multi‑channel campaigns and collaborate with cross‑functional teams
• 
  
• AI/Technology Domain Expertise: Understanding of AI platforms, machine learning, LLMs and workflow automation. Experience marketing complex technical products to both technical and business audiences.
• 
  
• Industry Exposure: Direct or indirect experience in healthcare, clinical research, manufacturing, finance or related sectors. Ability to understand regulatory contexts and decision‑making structures across these industries.
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• Global Mindset: Experience marketing to U.S. and Indian enterprises (knowledge of Dubai/GCC market is a plus). Ability to localize messaging without losing global consistency.
• 
  
• Relationship Builder: Strong network of senior contacts in relevant industries. Confidence interacting with CEOs, CTOs and CIOs; comfort delivering high‑stakes demos and presentations.
• 
  
• Analytical & Results‑Driven: Proficient in data analysis, market research and marketing automation tools. Track record of achieving or exceeding pipeline and revenue targets through marketing initiatives
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• Communication & Collaboration: Excellent written and verbal communication skills. Ability to translate technical concepts into business value. Effective collaborator across product, sales, engineering and executive teams.
• 
  
• Education: Bachelor’s degree in Marketing, Business or a related field; an MBA or equivalent advanced degree is preferred.
• 
  

Performance Expectations & KPIs

• Demand Creation: Meet or exceed quarterly targets for qualified leads and opportunities.
• 
  
• Pipeline Contribution: Deliver measurable contribution to revenue through marketing‑sourced pipeline.
• 
  
• Market Awareness: Achieve growth in brand visibility, share of voice and thought leadership within targeted industries.
• 
  
• Campaign Effectiveness: Improve conversion rates across the marketing funnel; demonstrate ROI for each channel.
• 
  
• Customer Insights: Provide feedback on customer pain points, competitive intelligence and feature requests to the product team.
• 
  
• Team Collaboration: Maintain strong alignment with sales, product and customer success teams.
• 
  

Additional Notes

This role offers the opportunity to build a marketing function from the ground up in a fast‑growing AI company. The successful candidate will have a blend of strategic vision, hands‑on execution capability, and a passion for AI‑enabled digital transformation.

Position: Senior Sales Executive – AI Platforms

Location: India (remote, with travel as required)

Employment Type: Full-time

About IntraIntel.ai

IntraIntel.ai is an end‑to‑end AI platform that helps enterprises unlock value from their data. The platform unifies clinical, financial and operational data via connectors and employs generative, retrieval‑augmented, and prescriptive AI to automate workflows and accelerate decision‑making. The solution is HIPAA/GDPR/SOC2/HITRUST compliant and supports multiple verticals including healthcare, clinical research, manufacturing and finance.

Summary of Role

We are seeking a seasoned sales leader who will build IntraIntel.ai’s presence in India and support growth in the US and Middle East markets. This role is ideal for an entrepreneurial seller who has successfully grown AI‑enabled SaaS products and understands enterprise healthcare, clinical trial, finance or manufacturing domains. You will develop our go‑to‑market strategy, build and manage the sales pipeline, and close high‑value deals with US‑based and global customers. You will work closely with our product, marketing and customer‑success teams to translate the platform’s technical capabilities into business outcomes.

Key Responsibilities

1. Go‑to‑market strategy & pipeline management

• Craft and execute a regional sales strategy aligned with corporate revenue goals and market positioning. Define target customer segments and build a robust pipeline of qualified leads, leveraging your network and working with marketing to create multi‑channel campaign.
• 
  
• Establish the sales funnel and forecasting process, monitor key metrics (e.g., lead‑to‑opportunity conversion, win rate, average deal size), and implement CRM best practices. Provide accurate monthly/quarterly forecasts to leadership
• 
  

2.Revenue generation & business growth

• Own the entire sales cycle from prospecting to closing. Conduct compelling demos of IntraIntel.ai’s platform, articulate the value of unified AI agents and RAG capabilities for customers’ business problems, and negotiate pricing and contracts
• 
  
• Identify and build strategic partnerships in healthcare, clinical trial, finance and manufacturing sectors to drive growth. Support channel partners and resellers in the US, India and Dubai.

3.Market research & customer insights

• Perform continuous market research to understand industry trends, competitive landscape, and regulatory changes. Identify triggers such as new regulations, reimbursement shifts or data‑integration challenges that drive demand for IntraIntel.ai.
• 
  
• Define ideal customer profiles, buyer personas and use‑case stories. Provide feedback to product and marketing teams to refine messaging and product roadmap
• 
  

4.GTM execution & cross‑functional collaboration

• Collaborate with marketing to plan and execute campaigns, webinars, and events. Design sales–marketing SLAs and ensure smooth lead hand‑off and follow‑through
• 
  
• Work with product management to tailor demos and proof‑of‑concepts for key accounts. Provide input into pricing, packaging and feature prioritisation based on market feedback.
• 
  

5.Relationship management & thought leadership

• Build executive‑level relationships with healthcare providers, CROs, medical device firms, finance leaders, and manufacturing executives. Represent IntraIntel.ai at conferences and thought‑leadership events to build brand awareness.
• 
  
• Maintain ongoing relationships with customers post‑sale to ensure satisfaction and identify expansion opportunities.

6.Team leadership & mentoring

• While initially an individual contributor, you will help recruit, train and mentor junior sales talent as we scale. Share best practices, coach team members in consultative selling and negotiation, and foster a high‑performance culture
• 
  

7.Metrics & KPIs

• Define and meet KPIs such as revenue quotas, pipeline coverage, conversion rates, average deal cycle length, and customer acquisition cost. Prepare executive reports and dashboards to track progress and highlight risks or opportunities
• 
  

Skills & Experience

• Sales expertise: 7+ years in enterprise sales with a track record of selling AI/SaaS platforms to US, India and Middle‑East markets. Familiarity with healthcare, clinical trial operations, financial services, real estate or manufacturing verticals is a strong plus.
• 
  
• AI & SaaS literacy: Ability to grasp AI technologies such as LLMs, retrieval‑augmented generation and AI agents, and translate them into business value for enterprise clients. Prior experience selling data platforms, analytics or automation solutions is desirable.
• 
  
• Strategic & analytical: Demonstrated success in designing and executing GTM plans, performing market segmentation, and using data and KPIs to drive decision‑making Proficient in CRM and sales analytics tools.
• 
  
• Relationship builder: Strong network with C‑suite and senior decision makers in healthcare, clinical trial, finance and manufacturing. Excellent communication, negotiation and storytelling skills to persuade technical and non‑technical audiences
• 
  
• Cross‑functional collaborator: Proven ability to work with marketing, product and customer success teams. Comfortable presenting feedback to leadership and aligning teams around shared revenue goals
• 
  
• Leadership & growth mindset: Ability to mentor junior sales professionals and build a high‑performance sales team. Entrepreneurial spirit with adaptability to a rapidly evolving AI landscape.
• 
  
• Education & travel: Bachelor’s degree (MBA or relevant postgraduate degree is a plus). Willingness to travel across India, US and Middle East.
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What Success Looks Like

• Revenue & pipeline: Achieving and exceeding annual revenue targets and maintaining a healthy pipeline across different geographies. Delivering consistent forecast accuracy.
• 
  
• Market penetration: Establishing IntraIntel.ai as a preferred AI platform in at least one major vertical in India and creating a foothold for expansion into the US and Middle East.
• 
  
• Customer adoption: Securing strategic reference customers, obtaining positive testimonials, and achieving high renewal and expansion rates.
• 
  
• Team & process: Building scalable sales processes, playbooks and metrics dashboards; helping to hire and train new team members; and fostering a culture of collaboration with marketing and product teams.

Strong Senior Data Scientist (AI/ML/GenAI) Profile

Mandatory (Experience 1) – Must have a minimum of 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production

Mandatory (Experience 2) – Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.

Mandatory (Experience 3) – Must have 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.

Mandatory (Experience 4) – Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

mandatory (Note): Budget for upto 5 yoe is 25Lacs, Upto 7 years is 35 lacs and upto 12 years is 45 lacs, Also client can pay max 30-40% based on candidature

About the Role

We are looking for a passionate GenAI Developer to join our dynamic team at Hardwin Software Solutions. In this role, you will design and develop scalable backend systems, leverage AWS services for data processing, and work on cutting-edge Generative AI solutions. If you enjoy solving complex problems and building impactful applications, we’d love to hear from you.

What You Will Do

• Develop robust and scalable backend services and APIs using Python, integrating with various AWS services.
• Design, implement, and maintain data processing pipelines leveraging AWS (e.g., S3, Lambda).
• Collaborate with cross-functional teams to translate requirements into efficient technical solutions.
• Write clean, maintainable code while following agile engineering practices (CI/CD, version control, release cycles).
• Optimize application performance and scalability by fine-tuning AWS resources and leveraging advanced Python techniques.
• Contribute to the development and integration of Generative AI techniques into business applications.

What You Should Have

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of professional experience in software development.
• Strong programming skills in Python and good understanding of data structures & algorithms.
• Hands-on experience with AWS services: S3, Lambda, DynamoDB, OpenSearch.
• Experience with Relational Databases, Source Control, and CI/CD pipelines.
• Practical knowledge of Generative AI techniques (mandatory).
• Strong analytical and mathematical problem-solving abilities.
• Excellent communication skills in English.
• Ability to work both independently and collaboratively, with a proactive and self-motivated attitude.
• Strong organizational skills with the ability to prioritize tasks and meet deadlines.

About Newpage Solutions

Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges.

From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.

We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.

We foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.

Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize.

Your Mission

We’re seeking a highly experienced, technically exceptional AI Development Lead to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation—from model selection and orchestration design to scalable backend implementation—while collaborating with cross-functional teams to transform AI research into production-ready solutions.

This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.

What You’ll Do

• Architect, build, and optimize production-grade Generative AI applications using modern frameworks such as LangChain, LlamaIndex, Semantic Kernel, or custom orchestration layers.
• Lead the design of Agentic AI frameworks (Agno, AutoGen, CrewAI, etc.), enabling intelligent, goal-driven workflows with memory, reasoning, and contextual awareness.
• Develop and deploy Retrieval-Augmented Generation (RAG) systems integrating LLMs, vector databases, and real-time data pipelines.
• Design robust prompt engineering and refinement frameworks to improve reasoning quality, adaptability, and user relevance.
• Deliver high-performance backend systems using Python (FastAPI, Flask, or similar) aligned with SOLID principles, OOP, and clean architecture.
• Own the complete SDLC, including design, implementation, code reviews, testing, CI/CD, observability, and post-deployment monitoring.
• Use AI-assisted environments (e.g., Cursor, GitHub Copilot, Claude Code) to accelerate development while maintaining code quality and maintainability.
• Collaborate closely with MLOps engineers to containerize, scale, and deploy models using Docker, Kubernetes, and modern CI/CD pipelines.
• Integrate APIs from OpenAI, Anthropic, Cohere, Mistral, or open-source LLMs (Llama 3, Mixtral, etc.).
• Leverage VectorDB such as FAISS, Pinecone, Weaviate, or Chroma for semantic search, RAG, and context retrieval.
• Develop custom tools, libraries, and frameworks that improve development velocity and reliability across AI teams.
• Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.
• Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.
• Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.

What You Bring

• 8+ years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
• Python experience with strong grasp of OOP, SOLID, and scalable microservice architecture.
• Proven track record developing and deploying GenAI/LLM-based systems in production.
• Hands-on work with LangChain, LlamaIndex, or custom orchestration frameworks.
• Deep familiarity with OpenAI, Anthropic, Hugging Face, or open-source LLM APIs.
• Advanced understanding of prompt construction, optimization, and evaluation techniques.
• End-to-end implementation experience using vector databases and retrieval pipelines.
• Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).
• Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
• Are obsessed with clean code, system scalability, and performance optimization.
• Can balance rapid prototyping with long-term maintainability.
• Excel at working independently while collaborating effectively across teams.
• Stay ahead of the curve on new AI models, frameworks, and best practices.
• Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
• Bachelor’s or Master’s in Computer Science, Machine Learning, or a related technical discipline.

What We Offer

At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer:

• A people-first culture – Supportive peers, open communication, and a strong sense of belonging.
• Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.
• Balance that lasts – We respect your time and support a healthy integration of work and life.
• Room to grow – Opportunities for learning, leadership, and career development, shaped around you.
• Meaningful rewards – Competitive compensation that recognizes both contribution and potential.

Job description:

Role: Sr Business Development Executive

Location: Hyderabad, India

Job description

We are looking for a rockstar Inside Sales Executive to work with our Sales and Marketing team to develop and execute a healthy lead generation program, driving qualified leads into the sales pipeline. He will be responsible for generating qualified leads and arrange meetings for sales teams through multi-channel outreach (USA)

Responsibilities:

• Understand the organizational goals and gain knowledge of CloudTern offerings
• Leverage LinkedIn services to research and reach out to potential Accounts and decision makers based on the Ideal Customer Profile
• Should be able to perform research about the target market and industries during lead generation activities
• Generate new leads using LinkedIn, Email marketing, cold calling, and other relevant marketing channels and activities
• Should make outbound calls daily to the allocated target list
• Should be able to convert cold calls to new business leads
• Meet monthly Quota (4 Leads) consistently
• Follow-up on inbound organic and inorganic leads from lead generation pages/campaigns.
• Communicate professionally with potential prospects on the phone, email, LinkedIn to learn about their business needs and build a productive business relationship.
• Should be proactive in identifying opportunities for new business leads.
• Should have good knowledge of Email marketing

Requirements:

• Bachelor's Degree or MBA (Marketing) is a plus
• Experience- 4-6 years in Cold calling & Lead Generation from the USA market
• Experience in B2B Software Services Industry
• Experience in Cold calling to USA market and generate leads
• Must have existing network of Decision makers from USA
• Good communication skills verbal as well as written is must
• Good knowledge of LinkedIn Navigator, HubSpot and Apollo.io
• Willing to work in the office daily - 5:30 PM - 02:30 AM
• Understanding of digital marketing concepts

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person

We are looking for a Senior AI / ML Engineer to join our fast-growing team and help build AI-driven data platforms and intelligent solutions. If you are passionate about AI, data engineering, and building real-world GenAI systems, this role is for you!

🔧 Key Responsibilities

• Develop and deploy AI/ML models for real-world applications

• Build scalable pipelines for data processing, training, and evaluation

• Work on LLMs, RAG, embeddings, and agent workflows

• Collaborate with data engineers, product teams, and software developers

• Write clean, efficient Python code and ensure high-quality engineering practices

• Handle model monitoring, performance tuning, and documentation

Required Skills

• 2–5 years of experience in AI/ML engineering

• Strong knowledge of Python, TensorFlow/PyTorch

• Experience with LLMs, GenAI, RAG, or NLP

• Knowledge of Databricks, MLOps or cloud platforms (AWS/Azure/GCP)

• Good understanding of APIs, distributed systems, and data pipelines

🎯 Good to Have

• Experience in healthcare, SaaS, or big data

• Exposure to Databricks Mosaic AI

• Experience building AI agents

We are looking for a Senior Frontend Engineer who excels at building high-performance, scalable, and user-friendly interfaces. You will be responsible for developing new software products, solving complex technical challenges, and delivering high-quality, maintainable front-end code. This role requires a deep understanding of modern frontend technologies, with a strong focus on ReactJS, along with leadership and collaboration skills.

At Proximity, you won’t just build interfaces — you’ll own features end-to-end, collaborate with brilliant peers across design and product, and contribute to the design system that powers experiences for 370M+ daily users.

Responsibilities

• Own and deliver end-to-end features ensuring performance, accessibility, and cross-browser compatibility.
• Build reusable components & libraries, shaping our evolving design system.
• Translate UI/UX designs into high-quality, efficient, maintainable code
• Collaborate with product managers, designers, and backend engineers to create seamless user-facing features.
• Write clean, testable, and documented code, contributing to best practices and code reviews.
• Stay curious and constantly push the boundaries by exploring new technologies and frameworks.
• Develop new user-facing features using ReactJS, ensuring a smooth and responsive user experience.
• Optimize components for maximum performance across a wide array of web-capable devices and browsers.
• Collaborate with UI/UX designers and backend developers to improve usability and design.
• Stay up-to-date with the latest industry trends and technologies, ensuring the application adheres to best practices.
• Write clear, maintainable, and testable code.
• Mentor junior engineers, conduct knowledge-sharing sessions, and contribute to the hiring process.
• Work with product managers and stakeholders to define project requirements and break down complex problems into manageable tasks.
• Ensure timely delivery of project milestones, maintaining high-quality standards.
• Maintain a focus on performance, scalability, and SEO optimization.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• 3 years of experience in software development, with extensive expertise in ReactJS and its core principles.
• Strong proficiency in React.js/Next.js and modern JavaScript, including DOM manipulation and CSSOM.
• In-depth knowledge of modern front-end development practices, including state management libraries (such as Redux or Flux).
• Experience with RESTful APIs and frontend build pipelines and tools.
• Familiarity with modern authorization mechanisms (e.g., JSON Web Tokens).
• Proficiency in code versioning tools, such as Git.
• Strong problem-solving, communication, and leadership skills.
• Ability to work independently, take ownership of features from design to production, and collaborate with cross-functional teams.
• Solid understanding of SEO principles and ensuring frontend applications adhere to them.
• Experience with responsive and adaptive design, ensuring compatibility across different devices and browsers.
• Deep understanding of browser internals and performance optimization.
• Solid grasp of design & architecture patterns.
• Enthusiasm for learning and contributing in a high-energy team environment.
• Immediate availability to join our remote-first team

Desired Skills:

• Experience with TypeScript.
• Familiarity with modern front-end build tools and methodologies.
• Understanding of Agile development methodologies.
• Open-source contributions or public projects that showcase your craft.

Benefits

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

AI/LLM Test Automation Engineer (SDET)

Location: Bangalore (Hybrid preferred)

Experience: 5-8 Years

Job Summary

We are seeking a Senior Test Automation Engineer (SDET) with expertise in AI/LLM testing and Azure DevOps CI/CD to build robust automation frameworks for cutting-edge AI applications. The role combines deep programming skills (Java/Python), modern DevOps practices, and specialized LLM testing to ensure high-quality AI product delivery.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java/Python for web, mobile, API, and backend testing.
• Create and manage YAML-based CI/CD pipelines in Azure DevOps for end-to-end testing workflows.
• Perform AI/LLM testing including prompt validation, content generation evaluation, model behavior analysis, and bias detection.
• Write and maintain BDD Cucumber feature files integrated with automation suites.
• Execute manual + automated testing across diverse application layers with focus on edge cases.
• Implement Git branching strategies, code reviews, and repository best practices.
• Track defects and manage test lifecycle using ServiceNow or similar tools.
• Conduct root-cause analysis, troubleshoot complex issues, and drive continuous quality improvements.

Mandatory Skills & Experience

✅ 5+ years SDET/Automation experience

✅ Java/Python scripting for test frameworks (Selenium, REST Assured, Playwright)

✅ Azure DevOps YAML pipelines (CI/CD end-to-end)

✅ AI/LLM testing (prompt engineering, model validation, RAG testing)

✅ Cucumber BDD (Gherkin feature files + step definitions)

✅ Git (branching, PRs, GitFlow)

✅ ServiceNow/Jira defect tracking

✅ Manual + Automation testing (web/mobile/API/backend)

Technical Stack

Programming: Java, Python, JavaScript

CI/CD: Azure DevOps, YAML Pipelines

Testing: Selenium, Playwright, REST Assured, Postman

BDD: Cucumber (Gherkin), JBehave

AI/ML: Prompt validation, LLM APIs (OpenAI, LangChain)

Version Control: Git, GitHub/GitLabDefect

Tracking: ServiceNow, Jira, Azure Boards

Preferred Qualifications

• Exposure to AI testing frameworks (LangSmith, Promptfoo)
• Experience with containerization (Docker) and Kubernetes
• Knowledge of performance testing for AI workloads
• AWS/GCP cloud testing experience
• ISTQB or relevant QA certifications

What We Offer

• Work on next-gen AI/LLM products with global impact
• Modern tech stack with Azure-native DevOps
• Flexible hybrid/remote work model
• Continuous learning opportunities in AI testing

Role Overview

Join our core tech team to build the intelligence layer of Clink's platform. You'll architect AI agents, design prompts, build ML models, and create systems powering personalized offers for thousands of restaurants. High-growth opportunity working directly with founders, owning critical features from day one.

Why Clink?

Clink revolutionizes restaurant loyalty using AI-powered offer generation and customer analytics:

• ML-driven customer behavior analysis (Pattern detection)
• Personalized offers via LLMs and custom AI agents
• ROI prediction and forecasting models
• Instagram marketing rewards integration

Tech Stack:

• Python,
• FastAPI,
• PostgreSQL,
• Redis,
• Docker,
• LLMs

You Will Work On:

AI Agents: Design and optimize AI agents

ML Models: Build redemption prediction, customer segmentation, ROI forecasting

Data & Analytics: Analyze data, build behavior pattern pipelines, create product bundling matrices

System Design: Architect scalable async AI pipelines, design feedback loops, implement A/B testing

Experimentation: Test different LLM approaches, explore hybrid LLM+ML architectures, prototype new capabilities

Must-Have Skills

Technical: 0-2 years AI/ML experience (projects/internships count), strong Python, LLM API knowledge, ML fundamentals (supervised learning, clustering), Pandas/NumPy proficiency

Mindset: Extreme curiosity, logical problem-solving, builder mentality (side projects/hackathons), ownership mindset

Nice to Have: Pydantic, FastAPI, statistical forecasting, PostgreSQL/SQL, scikit-learn, food-tech/loyalty domain interest

About the Role

We are looking for a highly skilled and experienced Full Stack Software Development Engineer to join our team focused on building and enhancing an Agentic AI Framework. You will be instrumental in developing scalable, reliable, and intelligent AI-based systems, contributing across the stack—from front-end interfaces to back-end infrastructure, and cloud deployment pipelines.

This is a dynamic and forward-thinking role, perfect for developers passionate about AI/ML advancements and keen to continuously grow in the evolving landscape of software engineering.

Key Responsibilities

• Design, develop, and maintain scalable and responsive front-end and back-end components of the Agentic AI Framework.
• Implement RESTful and GraphQL APIs for seamless integration across services.
• Optimize performance and ensure high availability across distributed systems.
• Collaborate with cross-functional teams including AI/ML engineers, data scientists, and DevOps.
• Write clean, maintainable, and testable code.
• Contribute to architecture discussions, code reviews, and project planning.
• Keep up-to-date with advancements in AI/ML algorithms, frameworks, and data science practices.
• Act as a primary point of contact for L3/L4 production support, including:

o  Debugging and resolving live issues

o  Delivering hot patches and quick fixes

o  Managing emergency and planned production releases

·      Own and operate the release lifecycle including version control, deployment, rollback strategies, and documentation

• Support deployment, monitoring, and scaling efforts using DevOps and cloud infrastructure.

Required Skills

• Front-end: React.js, TypeScript, HTML5, CSS3, Redux, Tailwind or Material UI
• Back-end: Java, Kotlin, Spring Boot, Node.js
• Databases: PostgreSQL, Redis, MongoDB, MySQL
• Architecture: Microservices, API Gateways, Event-driven architecture
• DevOps (Preferred): Docker, Kubernetes, CI/CD (e.g., Jenkins, GitHub Actions), AWS/GCP/Azure
• Testing: JUnit, Jest, Selenium, Postman
• Strong understanding of design patterns, data structures, and algorithms
• Familiarity or keen interest in AI/ML, LLMs, data science tools, and workflows

Nice to Have

• Experience with observability tools (Grafana, Prometheus, ELK stack)
• Japanese language proficiency (not mandatory, but a plus)

Who You Are

• A problem-solver with a proactive mindset
• Able to adapt quickly to new technologies and challenges
• Comfortable working in a fast-paced, innovative environment
• Collaborative with excellent communication skills

Perks & Benefits

• Learning support for AI/ML upskilling
• International and diverse team culture

Work on cutting-edge AI-driven products

Skills - Python (Pandas, NumPy) and backend frameworks (FastAPI, Flask), ETL processes, LLM, React.js or Angular, JavaScript or TypeScript.

• Strong proficiency in Python, with experience in data manipulation libraries (e.g., Pandas,

NumPy) and backend frameworks (e.g., FastAPI, Flask).

• Hands-on experience with data engineering and analytics, including data pipelines, ETL

processes, and working with structured/unstructured data.

• Understanding of React.js/ Angular, JavaScript/TypeScript for building responsive user

interfaces.

• Familiarity with AI/ML concepts and eagerness to grow into a deeper AI-focused role.

• Ability to work in cross-functional teams and adapt quickly to evolving technologies.

Salary: ₹3.5 LPA( Based on the performance)

Experience: 1–3 Years (ONLY FOR FEMALES)

We are looking for a Technical Trainer skilled in HTML, Java, Python, and AI to conduct technical trainer. The trainer will create learning materials, deliver sessions, assess student performance, and support learners throughout the training. Strong communication skills and the ability to explain technical concepts clearly are essential.

About Us:

MyOperator and Heyo are India’s leading conversational platforms, empowering 40,000+ businesses with Call and WhatsApp-based engagement. We’re a product-led SaaS company scaling rapidly, and we’re looking for a skilled Software Developer to help build the next generation of scalable backend systems.

Role Overview:

We’re seeking a passionate Python Developer with strong experience in backend development and cloud infrastructure. This role involves building scalable microservices, integrating AI tools like LangChain/LLMs, and optimizing backend performance for high-growth B2B products.

Key Responsibilities:

• Develop robust backend services using Python, Django, and FastAPI
• Design and maintain a scalable microservices architecture
• Integrate LangChain/LLMs into AI-powered features
• Write clean, tested, and maintainable code with pytest
• Manage and optimize databases (MySQL/Postgres)
• Deploy and monitor services on AWS
• Collaborate across teams to define APIs, data flows, and system architecture

Must-Have Skills:

• Python and Django
• MySQL or Postgres
• Microservices architecture
• AWS (EC2, RDS, Lambda, etc.)
• Unit testing using pytest
• LangChain or Large Language Models (LLM)
• Strong grasp of Data Structures & Algorithms
• AI coding assistant tools (e.g., Chat GPT & Gemini)

Good to Have:

• MongoDB or ElasticSearch
• Go or PHP
• FastAPI
• React, Bootstrap (basic frontend support)
• ETL pipelines, Jenkins, Terraform

Why Join Us?

• 100% Remote role with a collaborative team
• Work on AI-first, high-scale SaaS products
• Drive real impact in a fast-growing tech company
• Ownership and growth from day one

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
• 
  

Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

ROLES AND RESPONSIBILITIES:

• 2-4 years of experience designing in consumer-focused product companies. (Bonus points if you've worked in startups or fintech!)
• Gather requirements from stakeholders, derive problem statements and plan design engagements. Also, proactively launch efforts to improve different aspects of the product.
• Ensuring design quality, consistency, and coherence within the product.
• Design flows and experiences that are incredibly simple and elegant.
• Collaborate and conduct user research and evaluate user feedback on designs and do iterations according to feedback.
• Experiment and validate design ideas and opinions.
• Expert-level understanding of the design tools (Figma/Adobe Suite/etc.) It would be a bonus if you know exactly how to create super cool micro-interactions using any tool like Principle, AfterEffects or ProtoPie.
• A collaborative team player who can work well with Product, Engineering, Business and Customer experience teams to ensure that everyone is aligned with the design vision.

IDEAL CANDIDATE:

• You've a tech mindset. Although, you are not expected to code.
• You have strong opinions, loosely held
• You spend time agonising over the meta-design details but know when to choose progress over perfection.
• You have experience designing cross-platform experiences, from the web to native mobile.
• You know how to use Al tools like Midjourney.

WHAT WE VALUE?

• Having a great taste/intuition is important to move fast.
• You take the shot like an artist - You decide fast and deliver right
• You are the CEO of what you do - You show ownership and make things happen.
• You own the overall experience including copy, graphics, etc.

Company: MotionGility

Location: Indore (On-site)

Employment Type: Full-time

Experience: Freshers or Upto 2 years of experience

Company Introduction

Join India’s leading creative video agency, MotionGility, and be part of a team creating high-impact visuals for global brands. We help brands communicate, grow, and stand out in the digital world.

Role Overview

We are hiring Illustration-Based Graphic Designers who can create high‑quality character illustrations, scenes, and visual storytelling assets.

This role is suitable for freshers who have strong artistic sense, concept understanding, and proficiency in core design tools.

Key Responsibilities

• Create illustrations based on the script provided (characters, backgrounds, scenes, elements).
• Convert concepts into clean and appealing visual designs.
• Collaborate with scriptwriters and motion designers for accurate visual representation.
• Maintain brand consistency and follow MotionGility’s visual style.
• Understand project requirements, scripts, and design briefs clearly.
• Deliver illustration assets ready for motion graphics team usage.

Tools Required

• Adobe Photoshop (must-have)
• Adobe Illustrator (must-have)
• After Effects tools – basic understanding (required)
• Other Illustration tools is a plus

Skills & Abilities Required

• Strong understanding of concepts, composition, and visual storytelling
• Ability to understand and interpret scripts effectively
• Good command of English (reading + understanding for script clarity)
• Strong imagination and creative thinking
• Ability to adapt to MotionGility’s illustration style and quality standards

Key Qualities We Want

• Eager to learn and open to feedback
• Strong grasping ability
• Dedicated, consistent, and quality‑focused
• Ability to adapt quickly and meet MotionGility output standards
• Strong illustration and design skills are what matter.

Job Title: Sensor Expert – MLFF (Multi-Lane Free Flow) Engagement Type: Consultant / External Associate Organization: Bosch - MPIN

Location: Bangalore, India

Purpose of the Role:

To provide technical expertise in sensing technologies for MLFF (Multi-Lane Free Flow) and ITMS (Intelligent Traffic Management System) solutions. The role focuses on camera systems, AI/ML based computer vision, and multi-sensor integration (camera, RFID, radar) to drive solution performance, optimization, and business success. Key

Responsibilities:

• Lead end-to-end sensor integration for MLFF and ITMS platforms.

• Manage camera systems, ANPR, and data packet processing.

• Apply AI/ML techniques for performance optimization in computer vision.

• Collaborate with System Integrators and internal teams on architecture and implementation.

• Support B2G proposals (smart city, mining, infrastructure projects) with domain expertise.

• Drive continuous improvement in deployed MLFF solutions. 

Key Competencies:

• Deep understanding of camera and sensor technologies, AI/ML for vision systems, and system integration.

• Experience in PoC development and solution optimization.

• Strong analytical, problem-solving, and collaboration skills.

• Familiarity with B2G environments and public infrastructure tenders preferred.

Qualification & Experience:

• Bachelor’s/Master’s in Electronics, Electrical, or Computer Science.

• 8–10 years of experience in camera technology, AI/ML, and sensor integration.

• Proven track record in system design, implementation, and field optimization.

🚀 Join GuppShupp: Build Bharat's First AI Lifelong Friend

GuppShupp's mission is nothing short of building Bharat's First AI Lifelong Friend. This is more than just a chatbot—it's about creating a truly personalized, consistently available companion that understands and grows with the user over a lifetime. We are pioneering this deeply personal experience using cutting-edge Generative AI.

We're hiring a Founding AI Engineer (1+ Year Experience) to join our small team of A+ builders and craft the foundational LLM and infrastructure behind this mission.

If you are passionate about:

• Deep personalization and managing complex user state/memory.
• Building high-quality, high-throughput AI tools.
• Next-level infrastructure at an incredible scale (millions of users).

What you'll do (responsibilities)

We're looking for an experienced individual contributor who enjoys working alongside other experienced engineers and iterate on AI

Prompt Engineering & Testing

• Write, test, and iterate numerous prompt variations.
• Identify and fix failures, biases, or edge cases in AI responses.

Advance LLM and Development

• Engineer solutions for long-term conversational memory and statefulness in LLMs.
• Implement techniques (e.g., retrieval-augmented generation (RAG) or summarization) to effectively manage and extend the context window for complex tasks.

Collaboration & Optimization

• Work with product and growth teams to turn feature goals into effective technical prompts.
• Optimize prompts for diverse use cases (e.g., chat, content, personalization).

LLM Fine-Tuning & Management

• Prepare, clean, and format datasets for training.
• Run fine-tuning jobs on smaller, specialized language models.
• Assist in deploying, monitoring, and maintaining these models

What we're looking for (qualifications)

You are an AI Engineer who has successfully shipped systems in this domain for over a year—you won't need ramp-up time. We prioritize continuous learning and hands-on skill development over formal qualifications. Crucially, we are looking for a teammate driven by a sense of duty to the user and a passion for taking full ownership of their contributions.

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

Things you'll be working on

1. How to improve conversion rate? How do we make sure our message resonates with more & more people who land on the website. This will mean mapping their journey before they land and following through to understand what is it they're seeing on the website and why are they not moving forward.
2. Understand the user's pain points and incorporate proactive solutions in our digital communication for the channels you own.
3. Collaborating to find tech enabled solutions to business problems like how do we make our packaging staff more efficient, how do we manage inventory better, ensuring communication around delays is automated and handled better, etc.
4. Working on setting up and optimizing our CRM for better engaging with the users.

Qualifications

• 2+ years of working experience
• Previous experience in product is mandatory
• Experience with Shopify is a plus
• Strong with numbers and ability to manage multiple moving pieces together
• Ability to communicate well with all team members and keep members in sync
• Functional knowledge of AI tools and ability to learn new ones will help you stand out

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.

At iDreamCareer, we’re on a mission to democratize career guidance for millions of young learners across India and beyond. Technology is at the heart of this mission — and we’re looking for an Engineering Manager who thrives in high-ownership environments, thinks with an enterprising mindset, and gets excited about solving problems that genuinely change lives.

This is not just a management role. It’s a chance to shape the product, scale the platform, influence the engineering culture, and lead a team that builds with heart and hustle.

As an Director-Engineering here, you will:

• Lead a talented team of engineers while remaining hands-on with architecture and development.
• Champion the use of AI/ML, LLM-driven features, and intelligent systems to elevate learner experience.
• Inspire a culture of high performance, clear thinking, and thoughtful engineering.
• Partner closely with product, design, and content teams to deliver delightful, meaningful user experiences.
• Bring structure, clarity, and energy to complex problem-solving.
• This role is ideal for someone who loves building, mentoring, scaling, and thinking several steps ahead.

Key Responsibilities

Technical Leadership & Ownership

• Lead end-to-end development across backend, frontend, architecture, and infrastructure in partnership with product and design teams.
• Stay hands-on with the MERN stack, Python, and AI/ML technologies, while guiding and coaching a high-performance engineering team.
• Architect, develop, and maintain distributed microservices, event-driven systems, and robust APIs on AWS.

AI/ML Engineering

• Build and deploy AI-powered features, leveraging LLMs, RAG pipelines, embeddings, vector databases, and model evaluation frameworks.
• Drive prompt engineering, retrieval optimization, and continuous refinement of AI system performance.
• Champion the adoption of modern AI coding tools and emerging AI platforms to boost team productivity.

Cloud, Data, DevOps & Scaling

• Own deployments and auto-scaling on AWS (ECS, Lambda, CloudFront, SQS, SES, ELB, S3).
• Build and optimize real-time and batch data pipelines using BigQuery and other analytics tools.
• Implement CI/CD pipelines for Dockerized applications, ensuring strong observability through Prometheus, Loki, Grafana, CloudWatch.
• Enforce best practices around security, code quality, testing, and system performance.

Collaboration & Delivery Excellence

• Partner closely with product managers, designers, and QA to deliver features with clarity, speed, and reliability.
• Drive agile rituals, ensure engineering predictability, and foster a culture of ownership, innovation, and continuous improvement

Required Skills & Experience

• 8-15 years of experience in full-stack or backend engineering with at least 5+ years leading engineering teams.
• Strong hands-on expertise in the MERN stack and modern JavaScript/TypeScript ecosystems.
• 5+ years building and scaling production-grade applications and distributed systems.
• 2+ years building and deploying AI/ML products — including training, tuning, integrating, and monitoring AI models in production.
• Practical experience with SQL, NoSQL, vector databases, embeddings, and production-grade RAG systems.
• Strong understanding of LLM prompt optimization, evaluation frameworks, and AI-driven system design.
• Hands-on with AI developer tools, automation utilities, and emerging AI productivity platforms.

Preferred Skills

• Familiarity with LLM orchestration frameworks (LangChain, LlamaIndex, etc.) and advanced tool-calling workflows.
• Experience building async workflows, schedulers, background jobs, and offline processing systems.
• Exposure to modern frontend testing frameworks, QA automation, and performance testing.

We are looking for AI Interns from IIT and Top Colleges of India who have worked on AI Based projects during their tenure or have any experience in AI.

About Us

Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence.

More than 1,000 customers rely on its Active Intelligence platform, which provides advanced analytics solutions, allowing customers to connect deep network and operational intelligence with real-time actions that increase revenue, improve customer experience, and reduce costs.

Headquartered in Silicon Valley, Mobileum has global offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore and UK with global HC of over 1800+. 

Join Mobileum Team

At Mobileum we recognize that our team is the main reason for our success. What does work with us mean? Opportunities!

Role: GenAI/LLM Engineer – Domain-Specific AI Solutions (Telecom)

About the Job

We are seeking a highly skilled GenAI/LLM Engineer to design, fine-tune, and operationalize Large Language Models (LLMs) for telecom business applications. This role will be instrumental in building domain-specific GenAI solutions, including the development of domain-specific LLMs, to transform telecom operational processes, customer interactions, and internal decision-making workflows.

Roles & Responsibility:

• Build domain-specific LLMs by curating domain-relevant datasets and training/fine-tuning LLMs tailored for telecom use cases.
• Fine-tune pre-trained LLMs (e.g., GPT, Llama, Mistral) using telecom-specific datasets to improve task accuracy and relevance.
• Design and implement prompt engineering frameworks, optimize prompt construction and context strategies for telco-specific queries and processes.
• Develop Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases (e.g., FAISS, Pinecone) to enhance LLM performance on internal knowledge.
• Build multi-agent LLM pipelines using orchestration tools (LangChain, LlamaIndex) to support complex telecom workflows.
• Collaborate cross-functionally with data engineers, product teams, and domain experts to translate telecom business logic into GenAI workflows.
• Conduct systematic model evaluation focused on minimizing hallucinations, improving domain-specific accuracy, and tracking performance improvements on business KPIs.
• Contribute to the development of internal reusable GenAI modules, coding standards, and best practices documentation.

Desired Profile

• Familiarity with multi-modal LLMs (text + tabular/time-series).
• Experience with OpenAI function calling, LangGraph, or agent-based orchestration.
• Exposure to telecom datasets (e.g., call records, customer tickets, network logs).
• Experience with low-latency inference optimization (e.g., quantization, distillation).

Technical skills

• Hands-on experience in fine-tuning transformer models, prompt engineering, and RAG architecture design.
• Experience delivering production-ready AI solutions in enterprise environments; telecom exposure is a plus.
• Advanced knowledge of transformer architectures, fine-tuning techniques (LoRA, PEFT, adapters), and transfer learning.
• Proficiency in Python, with significant experience using PyTorch, Hugging Face Transformers, and related NLP libraries.
• Practical expertise in prompt engineering, RAG pipelines, and LLM orchestration tools (LangChain, LlamaIndex).
• Ability to build domain-adapted LLMs, from data preparation to final model deployment.

Work Experience

7+ years of professional experience in AI/ML, with at least 2+ years of practical exposure to LLMs or GenAI deployments.

Educational Qualification

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related field.
• Ph.D. preferred for foundational model work and advanced research focus.

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.

What You’ll Do

• Build and enhance real-time voice agents for sales, support, and operations use cases
• Work with ASR, TTS, LLMs, and dialog orchestration frameworks to improve voice quality and response accuracy
• Integrate multiple providers (Deepgram, Sarvam, ElevenLabs, OpenAI) into a modular voice pipeline
• Reduce latency, improve interrupt handling, and make conversations more natural
• Own the agent evaluation process: call audits, response quality scoring, and accuracy improvements
• Collaborate with product teams and customers to understand real call behaviours and solve friction points
• Contribute to voice infrastructure: WebRTC, streaming sockets, call routing flows

⚙️ What You Bring

• 3–6 years of experience as an AI/ML/LLM Engineer working on voice or conversational systems
• Strong hands-on experience with LLM prompting, finetuning, embeddings, and RAG
• Solid understanding of STT and TTS models and tuning them for natural speech
• Proficiency in Python and Node.js
• Experience with real-time audio streaming (WebRTC, WebSockets) is a strong advantage
• Ability to debug live calls and rapidly improve agent behaviour
• Strong sense of ownership and willingness to iterate closely with users

🏆 What Success Looks Like

• Voice agents handle interruptions smoothly and sound natural
• Call success and customer completion rates increase month over month
• Latency, token usage, and infra costs are reduced through better engineering and smart model choices
• Customers begin trusting agents as teammates, not just tools

If You Are Someone Who:

✅ Builds fast and learns faster

✅ Cares deeply about product experience, not just model performance

✅ Wants to create the future of how businesses talk to customers

We are looking for an 4-5 years of experienced AI/ML Engineer who can design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data processing, model building, and production deployment, along with solid programming and problem-solving skills.

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 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.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or related fields.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or generative AI is an added advantage.

Role Description

• Develop the tech stack of Pieworks to achieve the fly-wheel in the most efficient manner
• Focus on standardising the code, making it more modular to enable quick updations
• Integaring with various APIs to provide seamless solution to all stakeholders
• Build a robust node based information tracking & flow to capitalize on degrees of separation between members, candidates
• Bring in new design ideas to make the UI stunning and UX functional i.e one click actionable, as much as possible

 Mandatory Criteria

1. Ability to code in Java
2. Ability to Scale on AWS
3. Product Thinking
4. Passion for Automation

If interested kindly share your updated resume at 82008 31681

Key Responsibilities

• Oversee the end-to-end execution of web and mobile app development projects.
• Manage project scope, schedule, and delivery — ensuring milestones are achieved within deadlines and budgets.
• Coordinate between clients, developers, designers, and QA teams to ensure clarity and smooth communication.
• Define project requirements, sprint plans, and resource allocation using Agile or Scrum methodologies.
• Conduct regular status meetings, performance tracking, and progress reporting.
• Identify project risks, dependencies, and blockers, and develop proactive solutions.
• Maintain high levels of client satisfaction through transparency and consistent project updates.
• Collaborate with leadership to enhance project processes and overall delivery efficiency.

Required Skills & Experience

3–8 years of experience in project management within a software or digital agency environment.

Strong understanding of web and mobile app development life cycles.

Experience with Agile, Scrum, or Kanban methodologies.

Familiarity with project management tools like Jira, Trello, ClickUp, or Asana.

Excellent communication, leadership, and stakeholder management skills.

Ability to translate technical concepts into business-friendly language.

Knowledge of frontend (React, Next.js), backend (Node.js, Django), or mobile (Flutter, React Native) technologies is a plus.

Proven ability to handle multiple projects simultaneously with attention to detail and deadlines.

Preferred Qualifications

PMP, PRINCE2, or Agile certification preferred but not mandatory.

Prior experience managing offshore or remote teams.

Exposure to SaaS, AI-powered, or enterprise software projects.

About Us: The Next Generation of WealthTech  

We're Cambridge Wealth, an award-winning force in mutual fund distribution and Fintech. We're not just moving money; we're redefining wealth management for everyone from retail investors to ultra-HNIs (including the NRI segment). Our brand is synonymous with excellence, backed by accolades from the BSE and top Mutual Fund houses.

If you thrive on building high-performance, scalable systems that drive real-world financial impact, you'll feel right at home. Join us in Pune to build the future of finance.

[Learn more: www.cambridgewealth.in]

The Role: Engineering Meets Team Meets Customer

We're looking for an experienced, hands-on Tech Catalyst to accelerate our product innovation. This isn't just a coding job; it's a chance to blend deep backend expertise with product strategy. You will be the engine driving rapid, data-driven product experiments, leveraging AI and Machine Learning to create smart, personalized financial solutions. You'll lead by example, mentoring a small, dedicated team and ensuring technical excellence and rapid deployment in the high-stakes financial domain.

Key Impact Areas: Ship Fast, Break Ground  

1. Backend & AI/ML Innovation  

• Rapid Prototyping: Design and execute quick, iterative experiments to validate new features and market hypotheses, moving from concept to production in days, not months.
• AI-Powered Features: Build scalable Python-based backend services that integrate AI/ML models to enhance customer profiling, portfolio recommendation, and risk analysis.
• System Architecture: Own the performance, stability, and scalability of our core fintech platform, implementing best practices in modern backend development.

2. Product Leadership & Execution  

• Agile Catalyst: Drive and optimize Agile sprints, ensuring clear technical milestones, efficient resource allocation, backlog grooming and maintaining a laser focus on preventing scope creep.
• Mentorship & Management: Provide technical guidance and mentorship to a team of developers, fostering a culture of high performance, code quality, and continuous learning.
• Domain Alignment: Translate complex financial requirements and market insights into precise, actionable technical specifications and seamless user stories.
• Problem Solver: Proactively identify and resolve technical and process bottlenecks, acting as the ultimate problem solver for the engineering and product teams.

3. Financial Domain Expertise  

• High-Value Delivery: Apply deep knowledge of the mutual fund and broader fintech landscape to inform product decisions, ensuring our solutions are compliant, competitive, and truly valuable to our clients.
• Risk & Security: Proactively architect solutions with security and financial risk management baked in from the ground up, protecting client data and assets.

Your Tech Stack & Experience  

The Must-Haves  

• Mindset: A verifiable track record as a proactive First Principle Problem Solver with an intense Passion to Ship production-ready features frequently.
• Customer Empathy: Keeps the customer's experience in mind at all times.
• Team Leadership: Experience in leading, mentoring, or managing a small development team, driving technical excellence and project delivery.
• Systems Thinker: Diagnoses and solves problems by viewing the organization as an interconnected system to anticipate broad impacts and develop holistic, strategic solutions.
• Backend Powerhouse: 2+ years of professional experience with a strong focus on backend development.
• Python Guru: Expert proficiency in Python and related frameworks (e.g., Django, Flask) for building robust, scalable APIs and services.
• AI/ML Integration: Proven ability to leverage and integrate AI/ML models into production-level applications.
• Data Driven: Expert in SQL for complex data querying, analysis, and ETL processes.
• Financial Domain Acumen:Strong, demonstrable knowledge of financial products, especially mutual funds, wealth management, and key fintech metrics.

Nice-to-Haves  

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with Zoho Analytics, Zoho CRM and Zoho Deluge
• Familiarity with modern data analysis tools and visualization platforms (e.g., Mixpanel, Tableau, or custom dashboard tools).
• Understanding of Mutual Fund, AIF, PMS operations

Ready to Own the Backend and Shape Finance?  

This is where your code meets the capital market. If you’re a Fintech-savvy Python expert ready to lead a team and build a scalable platform in Pune, we want to talk.

Apply now to join our award-winning, forward-thinking team.

Our High-Velocity Hiring Process:  

• You Apply & Engage: Quick application and a few insightful questions. (5 min)
• Online Tech Challenge: Prove your tech mettle. (90 min)
• People Sync: A focused call to understand if there is cultural and value alignment. (30 min)
• Deep Dive Technical Interview: Discuss architecture and projects with our senior engineers. (1 hour)
• Founder's Vision Interview: Meet the leadership and discuss your impact. (1 hour)
• Offer & Onboarding: Reference and BGV check follow the successful offer.

What are you building right now that you're most proud of?

Job Title: AI Engineer

Location: Bengaluru 

Experience: 3 Years 

Working Days: 5 Days

About the Role

We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.

As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
• Build and integrate GenAI agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Continuously monitor and retrain models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
• Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
• Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
• Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
• Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.

IMP: Please read through before applying!

Nature of role: Full-time; On-site

Location: Thiruvanmiyur, Chennai

Responsibilities:

Build and manage automation workflows using n8n, Make (Integromat), Zapier, or custom APIs.

Integrate tools across JugaadX, WhatsApp, Shopify, Meta, Google Workspace, CRMs, and internal systems.

Develop and maintain scalable, modular automation systems with clear documentation.

Integrate and experiment with AI tools and APIs such as OpenAI, Gemini, Claude, HeyGen, Runway, etc.

Create intelligent workflows — from chatbots and lead scorers to content generators and auto-responders.

Manage cloud infrastructure (VPS, Docker, SSL, security) for automations and dashboards.

Identify repetitive tasks and convert them into reliable automated processes.

Build centralized dashboards and automated reports for teams and clients.

Stay up-to-date with the latest in AI, automation, and LLM technologies, and bring new ideas to life within Jugaad’s ecosystem.

Requirements:

Hands-on experience with n8n, Make, or Zapier (or similar tools).

Familiarity with OpenAI, Gemini, HuggingFace, ElevenLabs, HeyGen, and other AI platforms.

Working knowledge of JavaScript and basic Python for API scripting.

Strong understanding of REST APIs, webhooks, and authentication.

Experience with Docker, VPS (AWS/DigitalOcean), and server management.

Proficiency with Google Sheets, Airtable, JSON, and basic SQL.

Clear communication and documentation skills — able to explain technical systems simply.

Who You Are:

A self-starter who loves automation, optimization, and innovation.

Comfortable building end-to-end tech solutions independently.

Excited to collaborate across creative, marketing, and tech teams.

Always experimenting with new AI tools and smarter ways to work.

Obsessed with efficiency, scalability, and impact — you love saving time and getting more done with less.

What You Get:

A strategic and hands-on role at the intersection of AI, automation, and operations.

The chance to shape the tech backbone of Jugaad and influence how we work, scale, and innovate.

Freedom to experiment, build, and deploy your ideas fast.

A young, fast-moving team where your work directly drives impact and growth.

About Vomyra:

We build Voice AI agents that answer business calls 24×7 for restaurants, hotels, spas, education centres, and service businesses. No more missed calls → higher revenue → better customer experience.

Role Overview:

You will own the full sales cycle: prospecting → demo → trial → closure. You’ll directly work with the founder, sell to SMB/MSME owners, and help them adopt Voice AI.

What you’ll do

Generate qualified leads through LinkedIn, WhatsApp outreach, and cold calling

Run product demos and explain value clearly to business owners

Convert trials to paid plans

Manage a predictable pipeline and follow-up rigor

Hit weekly KPIs (demos, trials, conversions)

Maintain CRM hygiene and report performance

Gather market insights, objections, and help improve messaging

Must-haves

2–5 years of SaaS / Cloud / IVR / Telephony sales

Strong communication in English + Hindi

Experience selling to SMEs/MSMEs (restaurants/hotels/spas = bonus)

High activity mindset: outreach, follow-up, hustle

Comfort with demos, objections, pricing conversations

Proven consistency in hitting targets

Good-to-haves

Experience with Exotel, MyOperator, Ozonetel, Airtel Tata Reliance Jio

Exposure to GenAI or Voice AI products

Startup or zero-to-one environment experience

Ability to work in fast cycles with direct founder access

What we offer

Competitive base + aggressive incentives

Fast growth: work directly with founder, own accounts

Flexible remote-friendly culture

Opportunity to be early in a rapidly growing Voice AI category

Location

Remote / Delhi-NCR preferred

Role Overview

We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset.

Key Responsibilities

• Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
• Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
• Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
• Collaborate with data engineers to build scalable data pipelines and feature stores.
• Perform advanced feature engineering and selection to improve model accuracy and robustness.
• Work with large-scale structured and unstructured datasets using distributed computing frameworks.
• Translate business problems into data science solutions and communicate findings to stakeholders.
• Present insights and recommendations through compelling storytelling and visualization.
• Mentor junior data scientists and contribute to internal knowledge sharing and innovation.

Required Qualifications

• 7+ years of experience in data science, machine learning, and AI.
• Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).
• Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
• Experience with Azure AI Foundry would be a strong added advantage

Preferred Skills

• Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
• Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
• Contributions to open-source projects, publications, or patents in AI/ML.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently and collaboratively in cross-functional teams.
• Passion for continuous learning and innovation.

Are you a motivated individual eager to launch your career in generative AI and learn advanced technologies? Are you a hands-on learner with an interest in large language models and emerging AI technologies? Do you possess the ability to collaborate effectively within a team environment to implement and learn technical solutions?

At Aivar, we're looking for entry-level architects and engineers to learn generative AI techniques and contribute to building innovative solutions under the guidance of experienced professionals.

As an Generative AI/ML Engineer, you'll learn from technology and business teams while developing solutions. You will gain hands-on experience in a fast-paced environment that contributes to innovative AI projects.

Key job responsibilities:

● Learn to implement large language model solutions using Amazon Web Services (AWS)

● Learn Generative AI frameworks (LangChain, LangSmith, HuggingFace)

● Support prompt engineering implementation

● Assist in fine-tuning pipelines for specific use cases

● Learn to build basic generative AI solutions for text and images

● Help implement RAG architectures

● Support MLOps/LLMOps practices

● Document implementations and learnings

● Assist in testing generative AI solutions

We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.

You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.

Responsibilities

• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)

• Develop backend services and APIs using Python (FastAPI/Flask)

• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)

• Implement embeddings, prompt flows, and conversation logic

• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs

• Ensure system reliability, performance, and scalability

• Work directly with the founder in shaping the product and roadmap

Requirements

• Strong experience with LLMs & Generative AI

• Excellent Python skills with FastAPI/Flask

• Hands-on experience with LangChain or RAG architectures

• Vector database experience (Pinecone/FAISS/Chroma)

• Strong understanding of REST APIs and backend development

• Ability to work independently, experiment fast, and deliver clean code

Nice to Have

• Experience with cloud (AWS/GCP)

• Node.js knowledge

• LangGraph, LlamaIndex

• MLOps or deployment experience

Full Stack Engineer

Position Description

Responsibilities

• Take design mockups provided by UX/UI designers and translate them into web pages or applications using HTML and CSS. Ensure that the design is faithfully replicated in the final product.

• Develop enabling frameworks and application E2E and enhance with data analytics and AI enablement

• Ensure effective Design, Development, Validation and Support activities in line with the Customer needs, architectural requirements, and ABB Standards.

• Support ABB business units through consulting engagements.

• Develop and implement machine learning models to solve specific business problems, such as predictive analytics, classification, and recommendation systems

• Perform exploratory data analysis, clean and preprocess data, and identify trends and patterns.

• Evaluate the performance of machine learning models and fine-tune them for optimal results.

• Create informative and visually appealing data visualizations to communicate findings and insights to non-technical stakeholders.

• Conduct statistical analysis, hypothesis testing, and A/B testing to support decision-making processes.

• Define the solution, Project plan, identifying and allocation of team members, project tracking; Work with data engineers to integrate, transform, and store data from various sources.

• Collaborate with cross-functional teams, including business analysts, data engineers, and domain experts, to understand business objectives and develop data science solutions.

• Prepare clear and concise reports and documentation to communicate results and methodologies.

• Stay updated with the latest data science and machine learning trends and techniques.

• Familiarity with ML Model Deployment as REST APIs.

Background

• Engineering graduate / Masters degree with rich exposure to Data science, from a reputed institution

• Create responsive web designs that adapt to different screen sizes and devices using media queries and responsive design techniques.

• Write and maintain JavaScript code to add interactivity and dynamic functionality to web pages. This may include user input handling, form validation, and basic animations.

• Familiarity with front-end JavaScript libraries and frameworks such as React, Angular, or Vue.js. Depending on the projects, you may be responsible for working within these frameworks

• Atleast 6+ years experience in AI ML concepts, Python (preferred), prefer knowledge in deep learning frameworks like PyTorch and TensorFlow

• Domain knowledge of Manufacturing/ process Industries, Physics and first principle based analysis

• Analytical thinking for translating data into meaningful insight and could be consumed by ML Model for Training and Prediction.

• Should be able to deploy Model using Cloud services like Azure Databricks or Azure ML Studio. Familiarity with technologies like Docker, Kubernetes and MLflow is good to have.

• Agile development of customer centric prototypes or ‘Proof of Concepts’ for focused digital solutions

• Good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

We’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.

As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
• Build and integrate GenAI-powered agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Monitor, retrain, and fine-tune models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
• Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
• Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
• Strong problem-solving skills, structured thinking, and production-quality coding practices.

Bonus Skills

• Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
• Experience with vector databases (FAISS, Pinecone, Weaviate) and semantic search.
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
• Experience integrating GenAI into SaaS or enterprise products.

Education

• B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
• (Equivalent hands-on experience will also be considered.)

Why Join

• Build AI systems from prototype to production for live enterprise use.
• Work with a senior AI and product team that values ownership, innovation, and impact.
• Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
• Competitive compensation, career growth, and a flexible work culture.

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

We're hiring 2 Sales Executives Interns who know how to sell or are hungry to learn it fast.

If you're confident in conversations, know when to talk and when to pitch - you'll fit right in.

Your role:

• Call potential businesses (we'll provide the leads)
• Pitch our Al product & Services
• Get meetings booked directly with our founder

We work with startups, SMEs, and enterprises whole over the world to help them implement Al in their existing systems or build complete Al products from scratch.

Growth here is immiscible. If we see the spark, you'll grow exponentially move to full-time within 3 months, scale your position, your pay, and your impact fast.

We're not looking for "average salespeople."

If you love talking business, enjoy learning about Al, and can close with confidence this is your space.

DM us or drop your profile if you think you've got the spark. We'll reach out.

Review Criteria

• Strong DevOps /Cloud Engineer Profiles
• Must have 3+ years of experience as a DevOps / Cloud Engineer
• Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
• Must have strong hands-on experience in Linux administration and system management
• Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
• Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
• Must be proficient in scripting languages such as Python or Bash for automation
• Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
• Top tier Product-based company (B2B Enterprise SaaS preferred)

Preferred

• Experience in multi-tenant SaaS infrastructure scaling.
• Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.

Role & Responsibilities

We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.

Key Responsibilities:

• Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
• Build and optimize CI/CD pipelines to support rapid release cycles.
• Manage containerization & orchestration (Docker, Kubernetes).
• Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
• Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
• Drive cloud security automation (IAM, SSL, secrets management).
• Partner with engineering teams to embed DevOps into SDLC.
• Troubleshoot production issues and drive incident response.
• Support multi-tenant SaaS scaling strategies.

Ideal Candidate

• 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
• Strong expertise in AWS, Azure, or GCP.
• Strong expertise in LINUX Administration.
• Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
• Proficient in Terraform/Ansible/CloudFormation.
• Strong scripting skills (Python, Bash).
• Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
• Strong grasp of cloud security best practices.

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

• Curiosity, passion, teamwork, and initiative
• Extensive experience with SQL Server (T-SQL, query optimization, performance tuning, schema design)
• Strong proficiency in C# and .NET Core for enterprise application development and integration with complex data models
• Experience with Azure cloud services (e.g., Azure SQL, App Services, Storage)
• Ability to leverage agentic AI as a development support tool, with a critical thinking approach
• Solid understanding of agile methodologies, DevOps, and CI/CD practices
• Ability to work independently and collaboratively in a fast-paced, distributed team environment
• Excellent problem-solving, analytical, and communication skills
• Master's degree in Computer Science or equivalent; 5+ years of relevant work experience
• Experience with ERP systems or other complex business applications is a strong plus