Senior AI Engineer
Tasks
- Define architectural patterns for agent reasoning tool use memory and human in the loop collaboration
- Design agentic AI systems for care delivery
- Develop reusable platform capabilities and product implementations
- Establish standards and best practices for agent evaluation safety and operational reliability
- Own system design implementation observability evaluation and continuous improvement in production
- Partner with product managers operators and domain experts to translate care processes into reliable agent behavior
Perks/Benefits
- 401k
- Company-provided equipment
- Comprehensive medical, dental and vision coverage
- Disability insurance
- Flexible vacation policy
- Life insurance
- Remote work
- Subsidized childcare and caregiver supports
- Travel reimbursements
- Work From Home Expense Stipend
Skills/Tech-stack
Agent systems | Agentic AI | Anthropic API | Automated evals | Backend architecture | Braintrust | Cost Optimization | Deployment | Evaluation Frameworks | Human-in-the-loop | LLM orchestration | Langfuse | Langgraph | Langsmith | Language Processing | MCP | Machine Learning | Mastra | Metrics design | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | OpenAI API | Regression testing | Reliability Engineering | Scalable systems | Simulation testing | Stateful workflows | System design | Tool orchestration
Education
N/A
Roles
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