Senior AI/Machine Learning Engineer
Job Summary
Joining a cross-functional development team, the full-time Senior AI/Machine Learning Engineer will design and implement production-grade AI systems, develop Python SDKs, and ensure compliance with security and responsible AI standards while working remotely.
Key responsibilities
- Design and build production-grade agents using the Prodigy framework
- Develop a lightweight Python SDK for agent-platform integration and manage complex LLM routing
- Lead the architecture and implementation of scalable AI pipelines and applications
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 such as Docker and Kubernetes
- Experience integrating AI solutions with enterprise identity providers for multi-tenancy
Complete Job Description
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