onsite
Agentic AI Architect
Software Engineer
Design and implement autonomous AI agents using Azure AI services, large language models, and Autogen frameworks. Lead end‑to‑end development of agent‑to‑agent workflows, prompt strategies, and scalable architectures.
About the role
Key Responsibilities
- Architect and build autonomous AI agents that communicate and collaborate via Azure AI services and Autogen frameworks.
- Design prompt engineering strategies and LLM integration patterns to enable robust agent‑to‑agent interactions.
- Develop reusable libraries, APIs, and tooling in Python to accelerate agent deployment and monitoring.
- Collaborate with data scientists and infrastructure teams to ensure scalable, secure, and cost‑effective AI solutions.
- Document architectural decisions, best practices, and performance benchmarks for internal and external stakeholders.
Requirements
- Strong experience with Python and Azure AI (Azure OpenAI, Cognitive Services, Azure Functions).
- Deep understanding of large language models, prompt engineering, and agentic AI concepts.
- Hands‑on experience with Autogen or similar multi‑agent orchestration frameworks.
- Proven ability to design scalable, production‑grade AI architectures and APIs.
- Excellent problem‑solving skills and ability to work cross‑functionally in fast‑paced environments.