About the Role

We are hiring a Senior AI Engineer who builds production-grade AI products end-to-end. You will design and ship AI agents, Retrieval-Augmented Generation (RAG) systems, and fine-tuned small language models, while also owning the full-stack delivery from React/Vue/Angular frontends through Python/Node backends to AWS, GCP and Azure deployments.

What You Will Do
Design, build and deploy AI agents using LangChain, LangGraph, LlamaIndex, CrewAI or equivalent frameworks — including multi-agent orchestration, tool use, memory, and planning loops.
Architect RAG pipelines end-to-end: ingestion, chunking, embedding selection, vector stores (Pinecone / Weaviate / Qdrant / pgvector), hybrid search, re-ranking, query rewriting, and evaluation.
Fine-tune small and open-source language models (Llama, Mistral, Phi, Gemma, Qwen) using LoRA, QLoRA, PEFT, instruction tuning and DPO — and decide when fine-tuning is the right answer versus prompting or RAG.
Own deployment, scaling and observability on AWS (Bedrock, SageMaker, Lambda, ECS/EKS) and GCP (Vertex AI, Cloud Run,



GKE), with Docker, Kubernetes, Terraform and CI/CD.
Implement LLM observability and evals using LangSmith, Langfuse, RAGAS, DeepEval — and treat evaluation as a first-class engineering artifact, not an afterthought.
Address non-functional requirements: latency budgets, cost/token economics, prompt injection defense, PII handling, OWASP LLM Top 10, rate limiting, semantic caching, and graceful degradation.Collaborate with product, design and business stakeholders to translate ambiguous problems into shippable AI solutions, and mentor mid-level engineers on AI engineering practices.

Must-Have Skills

AI / GenAI Engineering
4+ years of software engineering and at least 2 years of hands-on production work with LLMs (OpenAI, Anthropic Claude, Gemini, or open-source).
Robust RAG experience: chunking strategies, embedding models, vector databases, hybrid search, re-ranking, evaluation, and

📌 Senior Ai Engineer Ahmedabad (India)
🏢 9series Computers
📍 India