Job Description:

- 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

Key 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 contemporary 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

Preferred Skills:

Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->AI-Generative AI->Generative AI - Basic->retrieval augmented generation (rag)

📌 Gen AI Consultant (Bengaluru)
🏢 Infosys
📍 Bengaluru