- Strong Senior GenAI / AI Backend Engineer Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production

- Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems

- Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects

- Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines

- Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases

- Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)

- Must have strong coding and system design skills, not just prompt engineering or experimentation

- Must have experience shipping AI features in production, not just POCs or research projects

- Must have experience working with APIs, backend services, and integrations

- Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking

- Product companies / startups, preferably Series A to Series D

- Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs

- Mandatory (Tech Stack) Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks

- Preferred (Skill) Experience with fine-tuning (LoRA / QLoRA) or open-source model deployment (vLLM / Ollama)

- Preferred (Frontend) Basic ability to build or contribute to frontend (React or similar)

- Highly Preferred (Education) Candidates from Tier-1 institutes (IITs, BITS, NITs, IIITs, top global universities)

The job is for:

Women candidates preferred

Differently-abled candidates preferred

For women joining back the workforce