AI Engineer (Full-Stack)

Level: Senior | Experience: 7–9 years | Location: Noida (hybrid)

Budget: 15-18 LPA

About the role

You will own the build of our AI products end-to-end — from the LLM and retrieval layer through to the application surfaces clients actually use (web, WhatsApp, voice, CRM/ERP integrations). This is not a research role and it is not a generic web role. You are the person who can move from a client discovery workshop to a deployed RAG-powered agent in 3–6 weeks, working across the full stack from vector retrieval to the React front-end.

You will work on enterprise engagements across BFSI, Healthcare, Manufacturing, and Retail/D2C, often embedded with client teams.

Required qualifications

- 7–9 years of software engineering experience, with the last 2+ years hands-on building production LLM applications (not just prototypes or chat wrappers).

- Strong Python (FastAPI / Flask / Django) and robust JavaScript/TypeScript (React or Next.js). True full-stack capability is non-negotiable for this role.

- Production experience with at least two of: LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, CrewAI.





- Hands-on experience with vector databases — Pinecone, Weaviate, Supabase pgvector, Qdrant, or equivalent.

- Deep familiarity with the frontier LLM landscape — GPT-4o, Claude, Gemini, Llama 3 — including their cost, latency, and capability trade-offs.

- Experience deploying to at least one major cloud (AWS, Azure, or GCP) including serverless and container workloads.

- Demonstrable understanding of RAG evaluation — recall, precision, faithfulness, answer relevance — and how to measure them, not just claim them.

Preferred qualifications

- Voice AI integration experience (ElevenLabs, Deepgram, Whisper, or LiveKit).

- WhatsApp Business API or Meta Cloud API experience.

- Experience fine-tuning open-source models (LoRA, QLoRA) or hosting them on private infrastructure.

- Familiarity with multilingual NLP — Hindi, Hinglish, or Indian regional language handling.

- Prior consulting or client-facing delivery experience.

- Contributions to open-source AI tooling.

📌 AI Engineer (Full-Stack) (India)
🏢 Sparix Global
📍 India