Serinyx, a start-up founded in Saarbrücken in 2026 that builds AI for high-stakes decisions on confidential data, is hiring a Senior Software Engineer in Saarland. The job is fully remote with 30 days of holiday, and you will turn AI research into simulations and forecasts that are scored against real outcomes.
About Serinyx
Product 1: A decision-intelligence platform where AI agents break down a question, research it with checked citations and debate findings under human review
Output: A verified, cited and digitally signed report
Product 2: An always-current, AI-built view of research for universities and research institutes
Stage: Founded in Saarbrücken in 2026 and now building its engineering team
Benefits & Setup
Work Model: Fully remote
Holiday: 30 days per year
Stack: Python, FastAPI, Temporal, Kubernetes, React with TypeScript and top AI models
Visas: Work-permit support for applicants outside the EU, usually the EU Blue Card
Position Overview
As Senior Software Engineer, you build the part of the product that turns evidence into a decision. In your first year you create the report layer (formats, evidence charts, digitally signed output and a report assistant), the engine that builds world models from research results, with parameter ranges, cause-and-effect links and scenarios, and calibrated forecasts with questions registered in advance, probability forecasts and measured quality such as Brier scores. You also own your code and direct the AI coding agents that work in it.
Why This Role Matters: Your forecasts are scored against what really happens, so quality is measured, not claimed. Simulation, probabilistic forecasting and LLMs meet in one role at a very early start-up, with real ownership and direct work with the CTO.
Key Responsibilities
Report Layer
- Build report formats, charts of the evidence and digitally signed output
- Build an assistant that answers questions about a finished report
World Models
- Build the engine that creates world models from research results, with parameter ranges, cause-and-effect links and scenarios
- Validate the models against reference data
Forecasting & Ownership
- Add calibrated forecasts: questions registered in advance, probability forecasts, measured quality such as Brier scores and comparison with real outcomes
- Own parts of the codebase, write work orders for AI coding agents, review every pull request and decide what merges
- Write your own tests, keep CI green and keep docs updated
Qualifications
Experience
- Several years designing and owning production software in Python, and a project to show
- Quantitative modelling: simulation (Monte Carlo, system dynamics or agent-based), probabilistic forecasting and uncertainty
- Forecast evaluation: proper scoring rules, calibration and backtesting
- Turning model output into clear reports and charts
AI & Tooling
- Comfort with LLM pipelines and directing AI coding agents, turning a vague goal into a precise work order
- An example of catching an agent’s code or tests being wrong
Nice to Have
- Bayesian modelling (PyMC, Stan) and decision analysis
- Forecasting tournaments or platforms and document generation (PDF, HTML)
- Domain knowledge in energy, industry or finance
About Serinyx
Serinyx builds AI for high-stakes decisions on confidential data. On its decision-intelligence platform, AI agents break a hard question down, research it with checked citations and debate the findings under human review, producing a verified, cited and signed report. A second product gives universities and research institutes an always-current, AI-built view of their research. The company was founded in Saarbrücken in 2026.
How to Apply: Send your CV and one link that shows your work (code, a paper or a project) to contact@serinyx.com with the job title in the subject line, in English or German. The process has three steps: a call with the CTO, a technical interview with your usual AI tools and a conversation with the founders. The posting gives no salary figure.
Who Should Apply?
- Python Engineers: With production ownership
- Quantitative Modellers: In simulation or forecasting
- ML Engineers: Working with LLM pipelines
- Data Scientists: Who ship software
- Remote Talent: In Saarland, Germany or abroad
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