AI / ML Engineer

 Develop and deploy LLM-powered AI agents using Python.
- Design Agentic AI workflows, tool calling, and multi-agent systems.
- Build and optimize RAG pipelines for enterprise knowledge retrieval.
- Integrate LLMs, vector databases, APIs, and external tools.
- Evaluate, monitor, and improve agent performance, accuracy, and reliability.
- Expected to perform independently and become a subject matter expert.
- Required active participation and contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications.
- Maintain and improve existing applications to ensure reliability and efficiency.