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AI Product Engineer (m/f/d)

Köln HQ, Berlin HQ, Hamburg, Remote
Full-time
Permanent employee
70,000 - 95,000 € per year

Your role

Collecting and verifying evidence to meet compliance or sustainability requirements is a major operational challenge for businesses today. Evidence management is often fragmented and manual.
Sunhat bridges this 'proof gap'. We are the Collaborative Proof Platform that consolidates scattered data into a central, verified proof library.

We are now building the next generation of Proof AI: systems that do not just surface the right information, but can take a compliance or sustainability requirement and produce a complete, evidence-backed, audit-ready result with expert oversight. This is some of the most ambitious applied-AI work at Sunhat, and it will shape where our platform goes over the coming years.

As an AI Product Engineer (m/f/d), you will help build this system, working close to where the value lands. You will see real customer assessments, iterate against live deliveries, and your work will directly determine whether a customer's compliance outcome ships on deadline. You will work as a full-stack engineer with a strong product mindset: building the agentic workflows and services (and the interfaces around them) that turn raw inputs into finished, audit-ready results, integrating and evaluating LLMs, and instrumenting the feedback loops that make the AI measurably better with every delivery. You will own outcomes from prototype to production, working closely with software engineers, compliance and sustainability experts, and product.

Your mission

  • Drive generative and agentic AI from ideation to production, including multi-step agents that analyse, draft, verify, and prepare compliance deliverables (with human checkpoints where they matter).
  • Own evaluation and quality: confidence scoring, accuracy measurement, and regression testing, so output is trustworthy enough to put in front of a customer.
  • Instrument the data flywheel from day one, capturing each AI draft, expert edit, and final result so every delivery makes Proof AI measurably better.
  • Build the product end to end, from the services and APIs to the lightweight interfaces the delivery team and customers use to review and approve work, plus the automation and integrations (e.g. via MCP) that connect them to the systems work flows through.
  • Work forward-deployed, close to live deliveries: see where the product and the AI break under real deadlines, and turn that directly into what you build next.
  • Partner with product management, compliance and sustainability experts, and the engineering team to translate delivery needs into reliable features, applying modern LLMOps practices and TDD for maintainable, rapidly iterated pipelines.

Your profile

  • Full-stack engineer: You build product end to end and ship it, comfortable across the stack from data models and services through to the interfaces on top. Our platform is TypeScript-based (Angular, Nest.js); equally strong experience in another modern stack is just as welcome.
  • Strong product mindset: You care about the outcome, not just shipping a feature. You know when “done is better than perfect”. You plan for the AI getting things wrong and for tight deadlines, and you track how your work performs so you can keep improving it.
  • Proficient in GenAI and agentic workflows: You have multiple years building and shipping agentic AI in production, with leading LLMs (e.g. Claude, Gemini) and agent frameworks such as Mastra or LangChain. You are comfortable designing multi-agent pipelines, tool use, and human-in-the-loop checkpoints, and you build AI-natively in your own workflow.
  • Strong in both TypeScript and Python: You use TypeScript for product, services, and agents and  Python for the deterministic logic and data work delivery depends on. Both matter for this role.
  • Automation and reliability: You ideally have experience with browser automation (Playwright, Puppeteer or similar) against changing interfaces, and with integrating systems via APIs and MCP.
  • Evaluation and LLMOps: You evaluate model output rigorously (confidence scoring, accuracy, regression testing) and apply modern LLMOps and CI/CD practices, ideally with GitHub, alongside tracing and prompt management.
  • SaaS and domain context: You have implemented AI in B2B SaaS applications. You are ideally familiar with compliance, sustainability, or regulatory frameworks, or you have a track record of getting deep into a complex regulated domain fast.
  • Collaborative and quality-driven: You value collaboration, engage in pair programming, and prioritize high-quality work through peer code reviews.
  • Initiative and adaptability: You take the lead on new projects, drive them to production, and continuously learn and improve based on outcomes. You are comfortable with ambiguity and fast-changing scope, and energized by working close to the customer.
  • Fluent in English: You are fluent in English, which is required for effective communication with our team and stakeholders.

Benefits

  • Flexible and Remote Work: You have the option to work fully remote within Germany. Alternatively, our offices in Cologne, Berlin, and Hamburg are always open to you.
  • Competitive Salary & Equity: We offer a competitive salary package along with options for company equity.
  • Family-Friendly Environment: We offer high flexibility to support your work-life balance.
  • Top Equipment & Tools: You'll receive state-of-the-art technological equipment.
  • Continuous Learning: You'll benefit from a professional development budget for courses, conferences, and more.
  • Monthly Feel Good Budget: A €50 benefit that you can flexibly use for shopping vouchers or a membership with Urban Sports Club.

Ready to make an impact

Interested in the role but not sure if you meet 100% of the requirements? Apply anyway! We aren’t looking for perfect resumes, but for people with potential and a genuine passion for our mission.

As an equal opportunity employer, we encourage applications from individuals of all backgrounds, regardless of their personal history or identity.


About us

Sunhat was founded to transform how companies manage and share sustainability data with both internal teams and external stakeholders. We believe technology is essential in closing the gap between rising ESG demands and the ability to deliver trustworthy, audit-ready proof.
By streamlining every step — from mapping requirements to preparing and maintaining documentation — Sunhat empowers sustainability teams to work faster, stay compliant, and strengthen stakeholder trust with reliable, verifiable information. ​
We are funded by world-class investors and are proud to support mission-driven companies all over the world in taking their sustainability program to the next level. Join us in revolutionizing the way companies exchange sustainability information