Agentic AI Engineer
Training BasketNoidaOn-siteDirect career pageEst. 8–18 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy AI agents leveraging LLMs and Generative AI to automate complex workflows and business processes.
- Build and optimize multi-agent systems with integration to external APIs, databases, and enterprise applications, implementing tool/function calling, memory management, and task planning.
- Develop Retrieval-Augmented Generation (RAG) pipelines and apply prompt engineering strategies to enhance AI agent performance, while ensuring system scalability, reliability, and security.
Minimum Requirements
- Strong programming knowledge of Python.
- Experience working with LLMs, prompt engineering, and transformer-based models.
- Familiarity with AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building integrated AI agent workflows utilizing REST APIs, JSON, and vector databases like FAISS, Chroma, Pinecone, or Weaviate.
- Skilled in AI agent orchestration including tool/function calling and agent collaboration for solving complex problems.
- Capable of implementing monitoring, validation, debugging, and optimization practices within AI software development environments.