Senior Full-Stack Engineer, AI Engineering

About the role

We are seeking a Senior Software Engineer to build agentic AI products across web, backend, and iOS. Your responsibilities will include designing, building, and operating agent-based software, leading evaluation pipelines, developing React frontends, maintaining backend services, and supporting iOS app features.

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 native iOS app, 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

• 5+ years building production software at scale
• Hands-on experience building real LLM and agent applications, not demos
• 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
• 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)
• 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