Infosys

Gen AI Consultant

Bangalore, India

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hirly's read of this role

Seniority: Mid level
Country: IN
Work mode: On-site / unstated
First seen by hirly: 5 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We are seeking an experienced Generative AI Engineer with strong expertise in Agentic AI, AI Agent Frameworks, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and LLM application development. The ideal candidate will design, develop, and deploy enterprise-grade GenAI solutions leveraging modern agent orchestration frameworks, vector databases, and cloud platforms.

Responsibilities

A day in the life of an Infoscion

As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.

You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.

You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.

You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.

You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Technical requirements

5-9 years of software development experience

Strong hands-on experience in Generative AI

Experience with Agentic AI architectures

Expertise in AI Agent Frameworks such as:

LangGraph

AutoGen

CrewAI

Semantic Kernel

LangChain Agents

Strong experience in RAG (Retrieval-Augmented Generation)

Hands-on experience with MCP (Model Context Protocol)

Experience working with LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama)

Python development experience

Prompt Engineering and AI application development

Vector Databases: Pinecone, ChromaDB, Weaviate, FAISS, Azure AI Search

Roles & Responsibilities

Design and build enterprise-grade Agentic AI applications.

Develop multi-agent workflows using modern agent frameworks.

Implement RAG pipelines leveraging vector databases and enterprise knowledge sources.

Integrate AI agents with enterprise applications using MCP.

Optimize prompts, retrieval strategies, and agent orchestration workflows.

Develop APIs and backend services supporting GenAI solutions.

Deploy, monitor, and fine-tune LLM-powered applications.

Collaborate with business and engineering teams to identify AI use cases and solution strategies.

Ensure scalability, security, and responsible AI practices.

Additional responsibilities

Preferred Skills

Azure OpenAI Services

AWS Bedrock

Databricks Mosaic AI

AI Observability tools (LangSmith, PromptFlow, Phoenix)

Docker & Kubernetes

MLOps / LLMOps

GraphRAG

Knowledge Graphs

Education

MTech,Bachelor of Engineering,BTech

Original posting on Infosys's site ↗

Listed on hirly, a job board. hirly is not the employer: Infosys is hiring for this role.

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