Senior GenAI Engineer

Infosys; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Infosys is seeking a Senior GenAI Engineer to design, develop, and scale enterprise-grade AI solutions. You will build multi-agent systems, optimize RAG pipelines, and implement MCP-based integrations using Python and cloud platforms.

You will work across LangGraph, LangChain Agents, AutoGen, CrewAI, and LlamaIndex, ensuring observability, security, and governance. This role emphasizes production-ready, regulated-industry AI solutions and strong collaboration.

Qualifications

• 5+ years of software engineering experience with Python.
• Hands-on experience with LangGraph, LangChain Agents, AutoGen, CrewAI, and LlamaIndex.
• Strong experience designing and deploying RAG-based applications.
• Experience with MCP or similar protocol-based integrations.
• Knowledge of Vector Databases such as Pinecone, Chroma, FAISS, Redis, or Milvus.
• Familiarity with Azure, AWS, or GCP, along with Docker and Kubernetes.
• Understanding of AI security, governance, privacy, and responsible AI practices.
• Strong communication and stakeholder management skills.
• LangOps / MLOps and AI evaluation frameworks.
• Elasticsearch, OpenSearch, OCR, and document-processing pipelines.
• Experience with OpenAI, Azure OpenAI, Claude, Gemini, and Llama models.
• Frontend integration experience for Copilots and AI Assistants.
• Experience working in regulated industries.

Responsibilities

• Design and build multi-agent AI systems using LangGraph, LangChain Agents, AutoGen, CrewAI, and LlamaIndex.
• Develop and optimize RAG pipelines including embeddings, chunking, vector stores, hybrid search, and reranking.
• Implement MCP tools and integrations for enterprise AI applications.
• Build robust and scalable solutions using Python, APIs, SDKs, and CI/CD pipelines.
• Establish observability through tracing, logging, telemetry, and AI safety guardrails.
• Perform model evaluation, testing, experimentation, and performance monitoring.
• Integrate AI applications with vector databases, model APIs, and cloud platforms.
• Collaborate with business and technology teams to translate requirements into impactful AI solutions.

Skills

Python

LangGraph

LangChain Agents

AutoGen

CrewAI

LlamaIndex

Tools

Pinecone

Chroma

FAISS

Redis

Milvus

Azure

AWS

GCP

Docker

Kubernetes

OpenAI

Azure OpenAI

Claude

Gemini

Job description

Senior GenAI Engineer | Agentic AI, RAG, MCP & Python

Are you passionate about building enterprise-grade Generative AI solutions? We are looking for a Senior GenAI Engineer to design, develop, and scale cutting-edge Agentic AI systems, RAG pipelines, and MCP-based integrations that drive business impact across industries.

Location: Any Infosys office location in India

Responsibilities

• Design and build multi-agent AI systems using LangGraph, LangChain Agents, AutoGen, CrewAI, and LlamaIndex.
• Develop and optimize RAG pipelines including embeddings, chunking, vector stores, hybrid search, and reranking.
• Implement MCP tools and integrations for enterprise AI applications.
• Build robust and scalable solutions using Python, APIs, SDKs, and CI/CD pipelines.
• Establish observability through tracing, logging, telemetry, and AI safety guardrails.
• Perform model evaluation, testing, experimentation, and performance monitoring.
• Integrate AI applications with vector databases, model APIs, and cloud platforms.
• Collaborate with business and technology teams to translate requirements into impactful AI solutions.

Qualifications

• 5+ years of software engineering experience with strong expertise in Python.
• Hands‑on experience with LangGraph, LangChain Agents, AutoGen, CrewAI, and LlamaIndex.
• Strong experience designing and deploying RAG-based applications.
• Experience with MCP or similar protocol-based integrations.
• Knowledge of Vector Databases such as Pinecone, Chroma, FAISS, Redis, or Milvus.
• Familiarity with Azure, AWS, or GCP, along with Docker and Kubernetes.
• Understanding of AI security, governance, privacy, and responsible AI practices.
• Strong communication and stakeholder management skills.
• LangOps / MLOps and AI evaluation frameworks.
• Elasticsearch, OpenSearch, OCR, and document-processing pipelines.
• Experience with OpenAI, Azure OpenAI, Claude, Gemini, and Llama models.
• Frontend integration experience for Copilots and AI Assistants.
• Experience working in regulated industries.

What We’re Looking For

• Strong problem‑solving mindset.
• End‑to‑end ownership and accountability.
• Excellent collaboration and documentation skills.
• Passion for building scalable, production‑ready AI solutions.

Join us to shape the future of Agentic AI, RAG, and enterprise Generative AI solutions at scale.