Senior Full Stack AI Engineer

Wadhwani Foundation · AI Team

Role: Senior Full Stack AI Engineer

Client: Wadhwani Foundation

YOE-5–7 year's experience

India (Remote / Hybrid) | GenAI · RAG · Multimodal

ABOUT THE ROLE

You will be a core engineer on Wadhwani Foundation's lean AI team, building production-grade AI systems that serve millions of learners across India and global markets. This is not a research role — you will own end-to-end delivery of GenAI pipelines, agentic platforms, and multimodal content automation systems that create measurable social impact at scale.

WHAT YOU'LL WORK ON

GenAI & LLM Systems

Production deployment of LLMs — Gemini, Azure OpenAI, Groq, open-source models at scale

RAG & Agentic Pipelines

LangGraph multi-agent orchestration, LlamaIndex RAG, MCP integrations

Multimodal Content Generation

AI-driven audio, image & video generation automation frameworks — voice cloning, lip sync, I2V pipelines

RESPONSIBILITIES

-Design and ship production GenAI systems end-to-end — from backend pipelines to user-facing interfaces

-Build and maintain RAG architectures and multi-agent orchestration systems using LangGraph, LlamaIndex, and related frameworks

-Develop multimodal AI pipelines for audio, image, and video content generation and automation

-Architect scalable APIs using FastAPI / Python; integrate with cloud platforms (Azure, AWS)

-Collaborate with internal teams and external vendors to operationalize AI features as shared services

-Write clean, well-tested, production-ready code with strong engineering discipline

-Contribute to architectural decisions and help define team best practices

-Well versed with AI driven development tools – Cursor, Claude, Copilot, Replit, etc.

WHAT WE'RE LOOKING FOR

-5–7 years of total engineering experience with demonstrable GenAI production deployments

-Strong Python expertise; experience with FastAPI, async patterns, and REST API design

-Hands-on with LLM frameworks: LangGraph, LlamaIndex, LangChain, or equivalent

-Experience with multimodal AI — image/audio/video generation, ASR, TTS, or voice models

-Solid understanding of RAG architectures, vector stores, embeddings, and retrieval strategies

-Comfortable with cloud-native deployments on GCP, Azure, Runpod

-Excellent communication and cross-functional collaboration skills

Ownership mindset — you take a feature from ideation to production

TECH STACK

Core (required):

Python · FastAPI · LangGraph · LlamaIndex · Azure OpenAI · RAG / Vector DBs · MCP · Multimodal AI

Supporting:

React / Streamlit · MongoDB · Docker / CI-CD · Git · Kubernetes

NICE TO HAVE

-Experience with speech / ASR models (Whisper, Sarvam AI, Azure STT) or TTS / voice cloning (VC) pipelines

-Exposure to multilingual NLP for Indic or global-south languages

-Prior work in EdTech, social impact, or mission-driven organisations

-Published projects, open-source contributions, or patents in AI/ML

EDUCATION

B.Tech / M.Tech / M.S. from a premier engineering institution — IITs, NITs, IIITs, or equivalent top-tier colleges. We value the rigour and problem-solving foundation that comes with this background. Exceptional candidates with non-traditional paths but strong production AI experience will also be considered.

WHY THIS ROLE

-Work on AI systems with real, measurable impact — serving learners across India, Brazil, Mexico, Philippines and Indonesia

-Operate at the frontier of GenAI — RAG, agentic orchestration, multimodal pipelines — in a production environment

-Lean team with high ownership — your decisions shape the architecture, not just the code

-Mission-driven organization backed by decades of grassroots work in skilling and education

Ready to build AI that actually matters

Send your resume along with a brief note on a GenAI project you're proud of.