Gen AI Consultant

Infosys; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Infosys seeks a senior software engineer specializing in Gen AI and agent frameworks to architect enterprise-grade AI platforms. You will design multi-agent orchestration, develop RAG pipelines, and implement MCP-based integrations across enterprise systems.

You will mentor engineers, ensure Responsible AI and governance, and collaborate with stakeholders to define AI roadmaps while advancing scalable, secure AI architectures.

Qualifications

• 9-11 years of software engineering experience.
• Strong hands-on expertise in Generative AI and LLM-based applications.
• Experience designing and implementing Agentic AI solutions.
• Hands-on with agent frameworks and RAG pipelines.
• Deep knowledge of MCP and enterprise AI architectures.
• Strong Python programming skills.
• Experience with multiple LLMs and vector databases.
• API and microservices development experience.

Responsibilities

• Architect and build enterprise-grade Agentic AI platforms and solutions.
• Design multi-agent orchestration workflows for business use cases.
• Develop and optimize advanced RAG pipelines using enterprise knowledge repositories.
• Implement MCP-based integrations between AI agents, tools, and enterprise systems.
• Lead LLM solution design, deployment, scalability, and performance optimization.
• Build reusable AI accelerators, frameworks, and components.
• Guide development teams on GenAI best practices and AI architecture patterns.
• Collaborate with business stakeholders to define AI roadmaps and use cases.
• Ensure Responsible AI, security, governance, and compliance standards are followed.
• Mentor junior engineers and conduct technical reviews.

Skills

Generative AI

LLM-based apps

Agent Frameworks

RAG

MCP

Python

OpenAI

Azure OpenAI

Vector Databases

Docker

Kubernetes

MLflow

LangChain

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

LangChain Agents

Pinecone

ChromaDB

Weaviate

FAISS

Cloud Platforms

Job description

Gen AI, Agent Frameworks, Agentic AI, RAG, MCP

9-11 years of software engineering experience Strong hands-on expertise in Generative AI and LLM-based applications Experience designing and implementing Agentic AI solutions Hands-on experience with Agent Frameworks such as: LangGraph CrewAI AutoGen Semantic Kernel LangChain Agents Strong expertise in RAG (Retrieval-Augmented Generation) Experience implementing MCP (Model Context Protocol) Strong Python programming skills Experience with OpenAI, Azure OpenAI, Claude, Gemini, Llama, or similar LLMs Expertise in Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS, Azure AI Search) API and Microservices development experience Roles & Responsibilities Architect and build enterprise-grade Agentic AI platforms and solutions. Design multi-agent orchestration workflows for business use cases. Develop and optimize advanced RAG pipelines using enterprise knowledge repositories. Implement MCP-based integrations between AI agents, tools, and enterprise systems. Lead LLM solution design, deployment, scalability, and performance optimization. Build reusable AI accelerators, frameworks, and components. Guide development teams on GenAI best practices and AI architecture patterns. Collaborate with business stakeholders to define AI roadmaps and use cases. Ensure Responsible AI, security, governance, and compliance standards are followed. Mentor junior engineers and conduct technical reviews.

Preferred Skills Azure OpenAI AWS Bedrock Databricks Mosaic AI GraphRAG Knowledge Graphs LLMOps/MLOps Docker & Kubernetes MLflow, LangSmith, PromptFlow CI/CD and Cloud Platforms (Azure/AWS/GCP)