Product Engineer (m/f/x)
About The Position
As a Product Engineer at RIZM, you will help build its Energy OS, which uses AI to support energy decisions at industrial sites. You will decide what to build and deliver features to real customers, using short feedback loops. The role is based in the Munich or Münster office. You will take customer-facing features across Digital Twin, Designer, Operator and Portfolio Manager from idea through design to production. You will also build AI agents that interpret digital twins, run optimisations, explain plans and eventually act autonomously, making them reliable through guardrails, grounding and evaluations against real customer data. You will turn complex simulations and live data from customer IT/OT systems, energy markets and weather into clear visualisations such as charts, time series and maps. The engineering team owns the product across workflows, algorithms, infrastructure and its AI agent layer. The listed technology stack includes Vue, Node.js, PostgreSQL, Google Cloud (Kubernetes and GitLab CI), LangGraph across multiple models, and Julia and Python for optimisation and forecasting.
Requirements
- 2–5 years of experience building customer-facing products.
- A proven track record of taking complex features from idea to launch.
- Strong TypeScript skills, with Vue or React.
- Comfort working across browser, Node and PostgreSQL.
- Experience with containers and CI/CD.
- Experience shipping LLM features to real users and understanding their costs and failure modes.
- Use of Claude Code, agents and subagents as part of daily work.
- Attention to design details, ability to cut scope independently, and comfort working on unclear problems.
- Curiosity about industrial energy; prior knowledge of the field is not required.
Nice To Haves
- Experience with Vue, Node.js, PostgreSQL, Google Cloud, Kubernetes, GitLab CI, LangGraph, Julia or Python, as relevant to the listed stack.
Responsibilities
- Take customer-facing features in Digital Twin, Designer, Operator and Portfolio Manager from idea through design to production.
- Build AI agents that read digital twins, run optimisations, explain plans and develop the ability to act autonomously.
- Improve AI-agent reliability with guardrails, grounding and evaluations tested against real customer data.
- Turn complex simulations and live data from customer IT/OT systems, markets and weather into clear charts, time series and maps.
- Make product decisions and ship software to industrial sites, using short feedback loops with customers.
Benefits
- Equity in the company in addition to base salary.
- Access to Point 9 and Earlybird investor networks for sparring, mentoring and learning.
- Annual team workation with talks from guest speakers.
- Opportunities to visit industrial sites and see software running in real operations.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
