Staff Applied AI Engineer

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Develop, enhance, and manage the Capabilities Engine as a fundamental platform for agentic product functionality.

• Create abstractions for agents and establish methods to discover, invoke, compose, observe, and enhance capabilities.

• Collaborate with contact-method owners across various channels including phone, email, chat, web login, ODC, and autonomous workflows.

• Transform recurring patterns across methods into reusable capabilities, interfaces, evaluations, and operational practices.

• Oversee and improve the reliability, latency, cost, observability, and safety of production capability execution.

• Design evaluation loops that encompass offline tests, production metrics, traces, regression suites, and qualitative assessments.

• Troubleshoot failures related to model behavior, tool execution, orchestration, product constraints, and downstream systems.

• Convert unclear product requirements into technical plans, prototypes, and sustainable systems.

• Work in tandem with product, design, data, platform, and operations teams.

• Mentor and cultivate engineers within the Agents Group while influencing technical direction and standards.

• Record system behavior, capability contracts, tradeoffs, and operational expectations.

• Assist with high-priority method initiatives to enhance agentic behavior, facilitate launches, or resolve production challenges.

• Assess and integrate new applied AI tools, patterns, and workflows.

⛳️ Requirements

• Proven experience in delivering production software with a solid foundation in engineering principles.

• Practical experience or strong familiarity with LLM applications, agentic systems, tool calling, retrieval, workflow orchestration, or applied AI products.

• Strong product judgment with the ability to connect customer needs to product experiences and technical architecture.

• Capability to navigate ambiguity, identify critical issues, prioritize tasks, make trade-offs, and advance without complete clarity.

• Enthusiasm for building platform abstractions and shared services for various teams or product interfaces.

• High expectations for quality, reliability, trust, clear contracts, observability, evaluation, and recovery strategies.

• Experience in debugging production behavior across model outputs, distributed systems, product logic, user context, and downstream integrations.

• Effective communication skills with engineering, product, design, data, operations, and platform teams.

• Drive to mentor and develop engineers.

• Familiarity with production LLM applications, agentic systems, workflow engines, tool-calling systems, or AI-driven product interfaces.

• Background in designing capability platforms, shared services, orchestration systems, or reusable product infrastructure.

• Proficiency in TypeScript, Node, GraphQL, Postgres, LLM applications, agentic systems, and workflow orchestration.

• Experience in creating evaluation and observability systems for probabilistic or agentic behavior.

• Knowledge in enhancing reliability, alerting, tracing, incident response, and operational quality.

• History of collaboration with Product, Design, Data, Operations, Legal, Support, or other cross-functional teams in sensitive customer domains.

• Experience in developing products where customer trust, permissions, explainability, and recovery paths are paramount.

• A tendency to convert repetitive one-off tasks into reusable systems, patterns, and documentation.

🏝️ Benefits

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily (in-office only)

• Snacks & Coffee (in-office only)

• Commuter benefits (in-office only)

• Bonus

• Reasonable accommodations for qualified individuals with disabilities