Description

You will design and implement autonomous agent systems using LLM orchestration.

This role is hybrid.

Responsibilities

• Develop and deploy production-ready agent-based solutions.
• Translate complex business requirements into functional technical implementations.
• Integrate LLMs and orchestration frameworks to drive automation.
• Manage prompt engineering efforts for advanced LLM interactions.

Required Skills

• 5+ years of experience in AI/ML or automation engineering.
• Strong hands-on experience with CrewAI or other LLM orchestration frameworks (LangChain, AutoGen, Semantic Kernel).
• Proficiency in Python, including async programming and API integration.
• Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.).
• Experience with vector databases (Pinecone, FAISS, Chroma) and embeddings.
• Experience building and deploying agent-based systems.

Preferred Skills

• Strong problem-solving capabilities.

Key Skills

Education

Any Graduate