Senior AI Engineer (Agent OS Platform)
Tasks
- Build agent runtime services
- Build observability for agent execution traces and failures
- Collaborate with domain teams to create reusable platform patterns
- Create context and memory assembly systems
- Design model and inference routing for shared agent platform
- Design typed tools and action contracts
- Develop evaluation scenarios and regression suites
- Implement trust and approval workflows
- Implement workflow execution and durable checkpoints
- Write and review production code for platform services
Perks/Benefits
- 401k match
- Flexible time off
- Health and wellness benefits
- Learning and development opportunities
- Parental leave
- Recognition rewards
- Telehealth options
Skills/Tech-stack
APIs | AWS | Agent workflows | Application Architecture | Async workflows | Azure | Behavioral evaluation | BigQuery | C# | Cloud platform | Context Assembly | Distributed Systems | Driven systems | Durable Execution | Elasticsearch | Evaluation systems | Event Driven | Event Driven Systems | Google Cloud | Google Cloud Platform | Human-in-the-loop | Java | LLM application | LLM application architecture | Message-driven | Message-driven architecture | Metadata | Multi-tenant | Multi-tenant SaaS | Observability | PostgreSQL | Privacy boundaries | Prompt engineering | Provenance | Python | Queues | Regression testing | Reliability Engineering | Retrieval-Augmented Generation | SQL | SQL Server | Security | Simulation testing | Snowflake | Structured outputs | Telemetry | The Loop | Tool-Calling | Vector Databases | Vector Search
Education
N/A
Roles
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