Staff Full-Stack Engineer, AI Engineering

Key Responsibilities

• Design, build, and operate agent-based software that executes multi-step tasks with tools, memory, and stateful workflows using LangGraph or equivalent frameworks
• Build and maintain evaluation pipelines for LLM and agent quality: offline eval suites, regression tests, tool-call and trajectory scoring, and the dashboards and tooling that make results actionable
• Lead development of React frontends with clean component architecture, sensible state management, and real performance work
• Design and maintain backend services, REST APIs, and data models in Java (Spring Boot) and Python
• Contribute to system design across multi-tenant infrastructure, auth, and async messaging
• Support features for our iOS apps, including UI, networking, push notifications, and release management
• Drive code quality, testing discipline, and engineering standards
• Mentor junior engineers and raise the bar through code review and design feedback

Requirements

• 8+ years building production software at scale
• Hands-on experience building real LLM and agent applications, not demos. You've designed tool interfaces, orchestrated multi-step workflows, handled failure modes in agent loops, and shipped something users depend on
• Direct experience with agent evaluation: building golden datasets, running offline evals, scoring tool calls and trajectories, and using eval results to drive prompt, model, and architecture changes
• Familiarity with frameworks like Braintrust, LangSmith, Inspect, or comparable custom harnesses
• Strong React, including state management, component design, and performance
• Strong Java with Spring Boot, plus working proficiency in Python
• Relational database design (PostgreSQL preferred)
• Comfort with distributed systems, async messaging, and modern service architecture
• Cloud infrastructure (AWS, GCP, or Azure) and CI/CD
• Bachelor's degree in CS, Engineering, or equivalent practical experience

Preferred Qualifications

• Experience with LangGraph specifically, or having built comparable orchestration from scratch
• iOS development with Swift and SwiftUI, including App Store release experience and APNs
• Multi-provider LLM work (Anthropic, OpenAI, Google, xAI) and MCP servers or clients
• Redis Streams or similar async messaging at production scale
• Multi-tenant SaaS with non-trivial RBAC and auth
• On-device ML on iOS (CoreML, NLContextualEmbedding) or audio pipelines (Whisper, TTS)
• Prior experience working with Palantir Foundry

Benefits

• Work on real-world AI applications with high-impact clients
• Collaborate with world-class data scientists, engineers, and product leaders
• Flat org structure, high trust, high autonomy
• Competitive salary + performance-based incentives

Pay

The target base pay for this position is $290,000-$300,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.

Schedule

This is an onsite position preferred to be located in Santa Monica, CA, or New York, NY. Relocation support can be provided to the right candidates.