The Role We're hiring a Senior Software Engineer to build agentic AI products for our clients. You'll own features end-to-end, from agent design and orchestration logic through React UIs and native mobile clients, and you'll be responsible for the evaluation systems that keep agent quality from regressing as the platform grows.
You should be comfortable moving between a Spring Boot service, a Python agent layer, and a React frontend in the same week. You should also have strong opinions about how to measure whether an agent is getting better.
You'll work closely with product, design, and other engineers, and you'll mentor more junior teammates.
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
RequirementsQualifications: - 5+ 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 is a big plus
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
Position Location 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.
CompensationThe target base pay for this position is $190,000-$200,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.
