AI Engineer

Nava Benefits

27d • Remote

About The Position

Nava is seeking an AI Engineer to build and harden the platform that supports Nava's LLM-based products. The role involves working at the forefront of AI-driven product development, addressing the limitations of out-of-the-box LLM applications. This unique opportunity focuses on transforming initial capabilities into a robust platform for all Nava AI teams, reducing the burden on product engineers and accelerating the company's AI initiatives. The work involves LLM-based product engineering at the frontier of current practice, focusing on the patterns for building and maintaining an AI ecosystem with real-world impact.

Requirements

• Hands-on ownership of the infrastructure under an LLM-based product that other engineers or users depended on (e.g., agent runtime, context or state management, orchestration, evaluation and tracing). Internal users and inherited systems count.
• Experience shipping LLM features to production and managing their imperfections (model behavior, latency, cost, and tradeoffs).
• Modern full-stack development in TypeScript and/or Python, integrating foundation-model APIs, tool calling, and human review into an application.
• Practical evaluation and tracing habits: checking model output and learning from real use.
• Ability to explain decisions to product, design, and domain experts, and translate their problems into reusable capabilities.

Responsibilities

• Harden platform capabilities (context management, agent state, sandboxed execution, model routing) for reuse across multiple use cases.
• Design state management and deployment patterns to ensure in-flight agent tasks survive deploys, restarts, and retries, and can be resumed, inspected, and replayed.
• Build a mechanism for packaging context into zero-trust execution environments and for ejecting and retrieving new context as an agent works.
• Optimize token usage and orchestrate subagents to reduce cost per task as usage scales.
• Reduce unplanned platform work interrupting AI product teams to allow them to focus on features.
• Document, test, trace, and evaluate shared patterns to ensure maintainability and ease of adoption for new engineers.

Benefits

• Protected space to build the AI platform.
• Work on frontier problems with real users in healthcare.
• A small, senior team with a direct line to leaders making product and platform decisions.
• Remote-first company culture.
• Mission to fix healthcare.
• Tooling to do the best work of your career.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed