AI Engineer
Tasks
- Build deterministic test and eval frameworks
- Design tool contracts capability boundaries and approval gates
- Extend durable execution workflow backbone
- Integrate agent systems with systems of record
- Maintain LLM tracing and token cost observability
- Review failures and prevent silent failure paths
- Run event bus with schema governed domain events
- Ship agentic workflows end to end
- Use coding agents multi model workflows and planners
- Version prompts and tool definitions as engineered artifacts
Perks/Benefits
- Career Development Discussions and Check ins
- Caregiver support
- Company sponsored professional development
- Flexible vacation
- Health, dental, vision insurance
- Monthly lunch and learns
- Parental leave
- Technology allowance
- Wellbeing Memberships
- Wellbeing benefits
- Wellness allowance
Skills/Tech-stack
API Design | Agentic Workflows | Authorization | Avro | CI/CD | Data Contracts | Deterministic testing | Evaluation Frameworks | Event Driven | Event-driven architecture | LLM tracing | Language Models | Large Language Models | MCP | OLAP | OLTP | Object storage | Observability | Prompt engineering | Protobuf | Pub/Sub | Replay Compatibility | Schema Registry | Token Observability | Tool-Calling
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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