Lead Machine Learning Engineer - Generative AI and Agent Platforms
USD 177K-215K (estimate) Senior-level Full Time
Tasks
- Build entitlement aware context assembly
- Deploy and operate agent services on cloud
- Design and deliver production AI agents
- Develop evaluation frameworks and release gates
- Engineer retrieval systems for production use
- Implement agent memory patterns
- Instrument tracing monitoring and incident response
- Integrate external tools and data sources
- Optimize runtime performance and reliability
- Orchestrate multi-agent workflows
- Own solutions from prototype through launch
- Translate use cases into shipped capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Agent systems | Amazon Web Services | Artificial Intelligence | Automated testing | Continuous Delivery | Docker | Embedding | Evaluation Frameworks | Fine Tuning | Graph Databases | Graph retrieval | Knowledge graphs | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Context Protocol | Model Optimization | Monitoring | Multi-Agent | Multi-Agent Systems | NoSQL | Observability | Python | Retrieval-Augmented Generation | SQL | Tracing | Vector Databases | Vector Search | Web Services
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
Cities
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