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GenAI / Agentic AI Engineer
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GenAI / Agentic AI Engineer
Infosys LimitedFresher
- Posted 2 hours ago
- Be among the first 10 applicants
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:
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Key Skills
retrieval augmented generation (rag)
AI-Data science
AI-Generative AI
Generative AI - Basic
About Company
Skills:
Git, Docker, Python, LangChain, LangGraph, AWS Bedrock
Skills:
Testing, Kubernetes, Docker, Git, Information Retrieval, async programming, RAG pipelines, OpenAI, Crew.ai, NLP techniques, safety considerations, development frameworks, knowledge retrieval systems, embedding models, vector databases, RAG systems, LLM optimization techniques, LangChain, Anthropic, agent alignment, semantic search, Autogen, prompt engineering, Advanced Python programming