Senior AI Software Engineer
Tasks
- Build AI agents for users
- Build tools for agents
- Deploy agents to staging and production
- Design evaluation harnesses
- Handle retries and errors
- Implement prompt caching strategies
- Improve reliability latency and cost
- Integrate APIs with data validation
- Manage token budgets
- Monitor traces and performance
- Prototype agent capabilities
- Score safety and effectiveness
- Search exercises in local databases
- Set up observability
- Submit structured workout data
Perks/Benefits
- 401k plan
- Dental insurance
- Disability insurance
- Flexible PTO
- Health insurance
- Learning and development stipend
- Mental health platform
- Remote-first
- Vision insurance
- Wellness stipend
Skills/Tech-stack
AWS Bedrock | AWS CloudFront | AWS Cognito | AWS ECR | AWS S3 | Async Programming | Datadog | Datadog Tracing | Evaluation harnesses | HTTP APIs | Infrastructure as Code | JSON Schema | LLM-as-a-Judge | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Observability | OpenTelemetry | Prompt Caching | Prompt engineering | Pydantic | Python | SSE | Streaming | Structured Output | Terraform | Token budgeting | Tool-Calling | Webhooks | “as-code”
Education
N/A
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