Overview

Experience: 7+ yrs

Employment Type: C2C / Contract

Location Pune Hybrid (2 / 3 days in week WFO)

We are looking for a highly skilled Senior AI/ML Engineer with handson experience in building and deploying productiongrade Generative AI and Agentic AI solutions. The ideal candidate should have strong expertise in LLMs, RAG architectures, LangChain, LangGraph, CrewAI, MCP, and cloudbased AI platforms. The role involves designing enterprise AI applications, developing autonomous AI agents, optimizing AI workflows, and collaborating with crossfunctional teams to deliver scalable AI solutions.

Key Responsibilities

• Design, develop, and deploy enterprisegrade Generative AI and Agentic AI applications.
• Build multiagent AI systems using LangChain, LangGraph, CrewAI, AutoGen, and MCP.
• Develop and optimize RetrievalAugmented Generation (RAG) pipelines using vector databases such as Pinecone, ChromaDB, Weaviate, and FAISS.
• Integrate LLMs (OpenAI, Azure OpenAI, Gemini, Anthropic, AWS Bedrock) into enterprise applications.
• Develop AIpowered autonomous agents for code modernization, document processing, research automation, and enterprise workflows.
• Implement LLMOps, prompt engineering, model evaluation, guardrails, and AI governance.
• Build REST APIs using FastAPI and integrate AI services with enterprise platforms.
• Implement observability using LangSmith, Langfuse, OpenTelemetry, and monitoring tools.
• Optimize AI applications for latency, scalability, token usage, and cost.
• Develop secure AI solutions with RBAC, Azure Key Vault, prompt injection protection, and enterprise security controls.
• Collaborate with business stakeholders to translate business problems into AIdriven solutions.
• Mentor team members and contribute to AI best practices and reusable frameworks.

Required Skills

• Python
• Generative AI & Large Language Models (LLMs)
• LangChain
• LangGraph
• CrewAI
• Model Context Protocol (MCP)
• RetrievalAugmented Generation (RAG)
• Advanced Prompt Engineering
• FastAPI
• Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)
• LangSmith / Langfuse
• LLMOps
• Agent Evaluation & Observability
• Git & CI/CD
• SQL / PostgreSQL
• Cloud Platforms
• Azure AI Services
• Azure OpenAI
• Azure ML
• AWS Bedrock
• Amazon SageMaker
• Google Vertex AI
• Databricks

Preferred Skills

• Knowledge Graphs (Neo4j, GraphRAG)
• NVIDIA NeMo Guardrails
• AutoGen
• OpenTelemetry
• Kubernetes / Docker
• PyTorch / TensorFlow
• MLflow / Kubeflow
• OCR & Intelligent Document Processing