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Agentic AI Engineer

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  • Posted 21 hours ago
  • Over 50 applicants

Job Description

  • Solid Python programming with experience in AI/ML frameworks (PyTorch, TensorFlow, or Scikit-learn).
  • Foundational understanding of LLMs and prompt engineering techniques.
  • Exposure to at least one agentic framework: LangChain, LangGraph, AutoGen, or CrewAI.
  • Basic knowledge of REST API integration and tool augmentation for agents.
  • Familiarity with responsible AI principles and safety considerations in LLM systems
  • Assist in designing and implementing agentic architectures using LLMs and reasoning engines.
  • Contribute to the development of multi-agent systems for task orchestration.
  • Integrate external tools, REST APIs, and knowledge bases to augment agent capabilities.
  • Write clean, well-documented Python code for agent logic and workflow components.
  • Support testing, evaluation, and debugging of agent pipelines.
  • Research agentic frameworks and prototype capabilities such as memory and planning modules.
  • Collaborate with cross-functional teams to embed agentic AI into business applications.

Good to Have

  • Exposure to RAG (Retrieval-Augmented Generation) pipelines.
  • Familiarity with vector databases (Pinecone, Weaviate, Chroma).
  • Basic knowledge of Docker and cloud environments (AWS, Azure, or GCP)

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About Company

Job ID: 151006017

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