* responsibilities:
o we're looking for an ai engineer with mandatory hands-on experience in microsoft agent framework (latest releases) and langgraph deepagents skill implementations. The candidate must demonstrate production-grade python engineering using uv and ruff, solid testing practices with pytest and bdd, and a proven ability to build and maintain ci/cd pipelines. Additional experience with llm providers, rag architectures, and observability tooling is a strong plus.
o mandatory skills description:
- microsoft agent framework (latest releases)
- langgraph - deepagents agent skill implementations
- production python: uv, ruff
- testing: pytest, bdd (pytest-bdd / behave)
- ci/cd pipeline design and maintenance
- llm providers (openai, azure openai, anthropic)
- rag architectures & vector databases
- docker & azure cloud deployments
- observability & monitoring of agentic workflows
o nice-to-have skills description:
- semantic kernel, autogen, or other agent frameworks
mlops & model evaluation pipelines
- open-source ai contributions
- experience with working with relational databases and caching
- experience with java and gradle