Staff AI Product Engineer

• Build AI-first product features
• Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
• Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo
• Optionally join a team building LLM-powered workflows that process and categorize unstructured feedback from multiple sources, turning it into actionable user insights
• Drive discovery and experimentation across different domains by building MVPs and POCs, discussing findings with engineers and product teams, and shaping execution plans
• Collaborate closely with product managers and designers to shape what we build, not just how we build it
• Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone

• 6+ years of professional software engineering experience, with a proven track record of shipping scalable production systems
• Hands-on experience with LLMs in real products — including prompt design, context management, evaluation, and understanding real-world limitations (hallucinations, latency, cost, reliability)
• Strong backend development skills in Python, Kotlin, or Java, with experience designing and evolving service-level logic and infrastructure
• Proven ability to own features end-to-end across backend and frontend systems
• You think like a builder — ideally a former founding engineer or founder — with a strong instinct for shipping what truly moves the product and the company forward
• You’re drawn to agent-native architecture and believe this is where software is heading. You’re excited to rethink codebases, APIs, and documentation so AI agents can reliably operate and scale
• You use AI tools daily (e.g., Cursor, Claude Code) and treat them as a core part of your engineering workflow — constantly experimenting, refining prompts, and pushing them to meaningfully increase your speed and output
• Comfortable working in distributed systems and event-driven architectures (e.g., queues, async processing, service-to-service communication)
• Extra credit: Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures

Experience building agentic systems is highly valued. Alternatively, deep hands-on work with advanced LLM workflows (tool use, multi-step reasoning, memory, orchestration) and a clear understanding of their trade-offs — along with the drive and technical maturity to quickly evolve toward agentic architectures

• Stock options
• MacBook + 34″ monitor
• Budget for online courses, books, and conferences
• 5 weeks of vacation + 9 sick days
• Volunteer Days
• Carrot Fertility Benefits
• Free snacks, drinks, and yummy catered lunches
• MultiSport card to access sports facilities
• Flexible working hours and home office
• Parental benefits
• Language lessons
• Mental Wellness Program
• Relocation bonus ranging from $6,000 to $13,000 USD