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Lead Agentic AI Engineer
Engineering
Design, build, and deploy autonomous AI agents capable of complex reasoning and tool execution for enterprise clients.
Key Responsibilities
- Architect multi-agent systems using frameworks like LangChain, AutoGen, and Semantic Kernel.
- Develop custom tool integrations enabling LLMs to interact with external APIs, databases, and enterprise software.
- Design robust prompt orchestration and memory management systems for autonomous agents.
Requirements
- Strong proficiency in Python and experience with popular LLM APIs (OpenAI, Anthropic, Gemini).
- Deep understanding of agentic architectures (ReAct, Plan-and-Solve) and vector databases.
- Experience deploying AI applications to cloud infrastructure (AWS/GCP).
Preferred Qualifications
- Prior experience building autonomous agents that have been deployed in production environments.