Job Title: GenAI Engineer (511 Years) – Immediate Joiners Preferred

Experience: 5 – 11 Years

Employment Type: Full-Time

Job Summary

We are seeking an experienced GenAI Engineer with robust expertise in Generative AI, Agent Frameworks, Agentic AI, RAG (Retrieval-Augmented Generation), and MCP (Model Context Protocol). The ideal candidate will design and implement intelligent, scalable AI systems leveraging LLMs, multi-agent workflows, and contextual reasoning.

Candidates who can join immediately or within short notice periods are highly preferred.

Key Responsibilities
- Design and develop GenAI-powered applications using modern LLM ecosystems
- Build and optimize RAG pipelines for context-aware AI solutions
- Develop Agentic AI systems using frameworks like LangChain, AutoGen, CrewAI, or similar
- Implement and manage multi-agent orchestration and workflows
- Utilize Model Context Protocol (MCP) for advanced prompt and context management
- Integrate LLMs with enterprise systems, APIs, and databases
- Fine-tune prompts and evaluate model performance (accuracy, latency, cost)




- Ensure security, scalability, and reliability of AI solutions
- Collaborate with cross-functional teams including data engineering, product, and DevOps
- Stay updated on emerging GenAI tools, frameworks, and best practices

Required Skills & Qualifications
- Strong experience in Generative AI / LLM-based application development
- Hands-on experience with RAG architectures (vector DBs like FAISS, Pinecone, Weaviate, etc.)
- Expertise in Agent Frameworks (LangChain, AutoGen, CrewAI, etc.)
- Experience building Agentic AI systems / multi-agent orchestration
- Knowledge of MCP (Model Context Protocol) or equivalent context-management approaches
- Strong programming skills in Python
- Experience working with OpenAI, Azure OpenAI, or similar LLM APIs
- Familiarity with prompt engineering and evaluation techniques
- Experience with REST APIs, microservices architecture

Preferred Qualifications
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📌 Gen AI (Mumbai)
🏢 Infosys
📍 Mumbai