AI Engineer

Responsibilities

• Design and implement scalable RAG pipelines to enable contextual, high-quality responses using enterprise knowledge bases.
• Evaluate and integrate Frontier LLMs /Open source LLM and APIs for specific tasks, ensuring optimal performance and efficiency.
• Build autonomous agent workflows using tools like CrewAI, LangGraph, Autogen, or OpenAI SDK.
• Develop and optimize prompts, chains, and multi-agent systems.
• Stay updated on the latest in the GenAI ecosystem and make recommendations for internal adoption.
• Collaborate with stakeholders to understand use cases, define solution architectures, and iterate prototypes into production-ready systems.
  • Ensure responsible AI practices, including data privacy, model explainability, and
    compliance.