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Описание вакансии
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TL;DR
Product Engineer (AI): Building customer-facing features and AI agents for an Energy OS used by industrial companies, with an accent on full-stack product development, reliable LLM systems, and industrial data visualization. Focus on designing end-to-end features, grounding AI agents with guardrails and evaluations, and operating live data flows and production services.
Location: Hybrid from Munich, Düsseldorf, or Münster, Germany; in-person onboarding required
Salary: €65,000–€80,000 per year plus equity
Company
Builds an Energy OS that combines AI, energy markets, and industrial processes to help major European industrial companies make energy decisions.
What you will do
- Design and ship customer-facing features across the Digital Twin, Designer, Operator, and Portfolio Manager modules.
- Build and deploy AI agents that read digital twins, execute optimizations, explain plans, and progressively support autonomous actions.
- Develop reliable AI systems with grounding, guardrails, and evaluation workflows to reduce hallucinations.
- Turn simulation outputs into clear time-series, chart, and map visualizations.
- Own production delivery across APIs, databases, optimization service interfaces, CI/CD, services, and jobs.
- Maintain reliable data flows from customer IT/OT systems, market and weather data, and public APIs.
Requirements
- Degree in computer science, software engineering, business informatics, or a comparable STEM field.
- 2–5 years of experience building customer-facing products and taking complex features from idea to launch.
- Strong TypeScript fundamentals with Vue or React, plus experience across the browser, Node, and PostgreSQL.
- Experience with containers, CI/CD, and production databases.
- Experience shipping LLM features to real users and understanding their costs and failure modes.
- High ownership, product sense, and willingness to work with unclear requirements; prior industrial energy knowledge is not required.
Nice to have
- Experience with Julia or Python for optimization and forecasting.
- Familiarity with LangGraph and multi-model AI systems.
Culture & Benefits
- Small team with direct communication, no hierarchy layers, and low ceremony.
- Hybrid work after in-person onboarding, with direct feedback from industrial customers.
- Annual team workation and access to mentoring, sparring, and further education through the Point 9 and Earlybird networks.
- Equity participation and a competitive base salary, with level determined during the hiring process.
- Corporate health and fitness flexibility through Urban Sports Club.
- Opportunities to visit industrial sites and see software running in real operations.
Hiring process
- Submit work that demonstrates how you think, such as a repository, product, or technical write-up; a CV is optional.
- Level is determined during the process rather than based solely on the CV.
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