Sr. Applied AI Engineer
Tasks
- Communicate architectural decisions
- Create modular systems with API boundaries
- Design end-to-end LLM workflows
- Develop reusable connectors and templates
- Develop shared AI development patterns
- Implement evaluation, logging, and tracing
- Integrate data science models into workflows
- Partner with data science teams to operationalize models
- Prototype AI assistants and automation tools
- Work with Head of AI on strategy
Perks/Benefits
- Flexible schedule
- Growth opportunities
- Impactful work
- Remote work
- Retirement match
- Stock options
- Unlimited PTO
Skills/Tech-stack
API Design | Agent Frameworks | Containerization | Deployment | Docker | Evaluation for LLMs | LLM Development | Langchain | Llamaindex | Logging | Metrics | Model Integration | Observability | Prompt orchestration) | Python | RAG Pipelines | RESTful APIs | SQL | Semantic Kernel | Streaming Pipelines | Tracing | Vector Databases
Education
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