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Senior Full-stack Product Engineer role at an AI-first company focused on transforming product development through AI-native workflows. The engineer will shape AI agent architecture, workflows, and evaluation systems.
Job Responsibility:
Take full ownership of features and platform capabilities, working across backend (Python/Kotlin) and frontend (React/TypeScript) layers to deliver end-to-end solutions
Lead the delivery of complex or ambiguous full-stack projects, breaking down problems, scoping technical work, and shipping iteratively
Work primarily in Python and Kotlin-based services to build reliable, scalable, and maintainable internal systems
Contribute to platform-wide efforts like authentication, permissions, notifications, and shared UI patterns
Collaborate with product managers and designers to define technical solutions that balance speed, scope, and user experience
Write high-quality, well-tested code across both frontend and backend codebases
Mentor junior and mid-level engineers through pairing, design reviews, and technical feedback
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
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints
Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone
Requirements:
5+ years of professional engineering experience
4+ years of professional experience building and maintaining production systems at scale
Strong backend development skills in Python, Kotlin, or Java, with experience designing and evolving service-level logic and infrastructure
Working proficiency in React and TypeScript, with the ability to contribute meaningfully to frontend implementation and UX polish
Proven ability to own features end-to-end across backend and frontend systems
Experience delivering projects iteratively in cross-functional teams
Familiarity with tools like PostgreSQL, Kafka, GraphQL, and AWS
Experience mentoring other engineers and helping uplift team-wide engineering quality
Clear communication skills - especially when explaining technical trade-offs and collaborating across functions
A pragmatic, product-focused mindset - you care about delivering impact, not just elegant code
Bring product thinking to engineering work. You can articulate why something matters for users, not just how it works technically
Embrace AI as a daily tool in your own workflow. You use AI coding assistants, iterate on prompts, and constantly look for ways to move faster
Are curious about what agent native architecture looks like: how to structure codebases, APIs, and documentation so AI agents can operate effectively at scale
Nice to have:
Experience building AI agents, with familiarity with frameworks such as Pydantic AI, LangGraph, AutoGen, or CrewAI
Curiosity to explore AI-based tooling for accelerating backend/frontend development or automation
What we offer:
Stock options
MacBook + 34″ monitor
Budget for online courses, books, and conferences
5 weeks of vacation + 9 sick days
Volunteer Days for you to help causes close to your heart
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 to support your well-being and self-care
Relocation bonus ranging from $6,000 to $13,000 USD