Über
Design, build, and test production-grade AI agents and develop a lightweight Python SDK for platform integration Architect and implement scalable AI pipelines and apply MLOps best practices for continuous improvement of AI models Collaborate with cross-functional teams to align technical solutions with client objectives and provide mentorship to junior engineers
Required qualifications
Extensive experience with Python, LangChain, and LangSmith; familiarity with the Prodigy framework is a significant advantage Proven track record in building multi-step reasoning chains and state management for autonomous agents Practical experience with Vector Databases and building ETL "Data Engines" for secure agent consumption Understanding of containerization technologies like Docker and Kubernetes Experience with workflow orchestration tools such as Temporal for managing complex agentic workflows
Sprachkenntnisse
- English
Hinweis für Nutzer
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