Sapio Analytics is looking for a Senior AI Engineer to design, build, and deploy production-grade AI applications powered by LLMs, Agentic AI, MCP, RAG, and Multi-Agent Systems.

This is a hands-on, high-ownership role for someone who can take AI features from architecture → development → deployment → production optimization. Responsibilities:-

Build production-ready AI applications, AI Agents & Multi-Agent Systems

Develop MCP servers and client integrations

Build RAG pipelines, AI workflows and intelligent assistants

Work with OpenAI, Claude, Gemini and open-source LLMs

Develop scalable Python & FastAPI backend services

Work with LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen

Deploy AI applications and agents using Docker & Kubernetes

Optimize model performance, latency, token usage and inference

Build AI-powered automation and enterprise AI platforms

Implement AI guardrails,



structured outputs and observability Key Skills Must Have:-

Expert-level Python

LLM & Generative AI

Agentic AI / AI Agents / Multi-Agent Systems

MCP (Model Context Protocol)

RAG, embeddings, semantic & vector search

Vector databases – Pinecone, Qdrant, Weaviate, Chroma or pgvector

FastAPI, REST APIs & async programming

LangChain / LangGraph / LlamaIndex / CrewAI / AutoGen

Docker & Kubernetes

Production AI deployment experience

SQL and database fundamentals Positive to Have:-

LoRA / QLoRA / PEFT fine-tuning vLLM, Ollama, TensorRT-LLM or Hugging Face Transformers

AI security & guardrails

Prompt/semantic caching

Multimodal AI

Langfuse, OpenTelemetry, Prometheus or Grafana

CI/CD for AI applications

AWS / GCP / Azure experience

📌 Senior AI Engineer (Bandra West)
🏢 Sapio Analytics
📍 Bandra West