I
GenAI / Agentic AI Engineer
I
GenAI / Agentic AI Engineer
Infosys LimitedThis job is no longer accepting applications
Job Description
Responsibilities :
Key Responsibilities Develop GenAI features and workflows using Python and AWS Bedrock Implement RAG pipelines (chunking, embeddings, retrieval, grounding) Build single/multi-step agent workflows using LangChain / LangGraph Integrate LLMs with APIs, tools, and enterprise applications Write tested, maintainable Python code with CI/CD pipelines Monitor basic latency, token usage, and cost metrics Collaborate with architects, seniors, and QA teamsTechnical and Professional Requirements:
Must Have Skills Python - Core concepts: OOP, typing, modules, pytest/unittest, fixtures, basic async AWS Bedrock - Model invocation (Claude/Titan, etc.), Knowledge bases or retrieval integration, basic understanding of guardrails & access controls Generative AI - Prompting (system, few-shot), RAG types and approaches, Basic evaluation awareness, LangChain / LangGraph , Simple agent flows and routing DevOps Basics - Git, PRs, CI pipelines, Docker basics, artifacts ________________________________________More Info
Job Type:
Industry:
Role:
Function:
Employment Type:
Key Skills
retrieval augmented generation (rag)
Artificial Intelligence - BASIC
AI-Generative AI
AI-Data science
Generative AI - Basic
About Company
Skills:
retrieval augmented generation (rag), Generative AI - Basic, PYTHON, Technology, AI-Data science, AI-Generative AI
Skills:
Docker, Python, Pytest, Oop, Git, Modules, AWS Bedrock, unittest, Fixtures, LangGraph, access controls, LangChain, DevOps Basics, async, CI pipelines, basic understanding of guardrails, Typing, few-shot RAG types and approaches, basic evaluation awareness
Skills:
Information Retrieval, Testing, Git, Docker, Kubernetes, LangChain, Crew.ai, embedding models, vector databases, Anthropic, knowledge retrieval systems, prompt engineering, safety considerations, Autogen, development frameworks, Advanced Python programming, LLM optimization techniques, NLP techniques, async programming, RAG pipelines, OpenAI, semantic search, agent alignment