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.
A day in the life of an Infoscion
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!
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.
Preferred Skills
Azure OpenAI Services
AWS Bedrock
Databricks Mosaic AI
AI Observability tools (LangSmith, PromptFlow, Phoenix)
Docker & Kubernetes
MLOps / LLMOps
GraphRAG
Knowledge Graphs
Source: Infosys careers — Read the original posting and apply
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