Job DescriptionWe 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.
Roles & ResponsibilitiesA 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 Requirement5-9 years of software development experience
Robust 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 ResponsibilityPreferred Skills
Azure OpenAI Services
AWS Bedrock
Databricks Mosaic AI
AI Observability tools (LangSmith, PromptFlow, Phoenix)
Docker & Kubernetes
MLOps / LLMOps
GraphRAG
Knowledge Graphs
Educational RequirementMTech,Bachelor of Engineering,BTech
Preferred SkillsTechnology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)
Service LineEngineering Services

📌 Gen AI Consultant (Bengaluru)
🏢 Infosys
📍 Bengaluru