Senior Full Stack AI Engineer
Role: Senior Full Stack AI Engineer
Client: VidvanConnect Software and Solutions Private Limited
YOE-5–6 year’s experience
India (Remote) | GenAI
- RAG
- Multimodal
ABOUT THE ROLE
You will be a core engineer on VidvanConnect Software and Solutions Private Limited'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
-5–6 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.