SALT
Germany
Backend Developer (m/f/d)
- AI
- Ai Tools
- Design Patterns
- Kotlin
AI Summary
Build the real-time decision layer for discrete manufacturing at planqor.ai as a founding engineer, shaping a greenfield product from line one. Own backend (Python), frontend, data pipelines, integration, and infrastructure while working directly with the CTO in a fast-paced startup environment. Required: strong Python/backend engineering, full-stack product skills (TypeScript/React), data modeling, and infrastructure fundamentals (Docker, CI/CD).
Key Highlights
Founding engineer role building the real-time decision layer for discrete manufacturing startups
Full ownership of Python backend, TypeScript/React frontend, data pipelines, and infrastructure
Direct work with CTO in a remote-first EU-based startup with competitive pay and equity
Key Responsibilities
Build the real-time decision layer software for discrete manufacturing at planqor.ai
Develop Python backend services, APIs, data models, and pipelines around the optimization engine
Create interactive interfaces and visualizations using TypeScript and React
Integrate native C++ components, factory data, and product workflows
Own CI/CD, containers, deployment, observability, and supporting infrastructure
Grow into leading software engineering through hiring, mentoring, and setting direction
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Technical Skills Required
Benefits & Perks
Competitive pay €5,000–€8,000/month
VSOP equity
Remote-first with Munich office option
Regular in-person workshops
Hardware and tools provided
40 hours/week, 24 days annual leave
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Nice to Have
C++ and native Python bindings such as pybind11 or nanobind
Data visualization experience
Optimization, scheduling, simulation, or algorithmic systems experience
Enterprise integrations such as ERP/SAP
German language skills
Manufacturing or industrial planning experience
Job Description
Planqor.ai
Founding Full-Stack Engineer
Remote (European Union)
€5,000–€8,000/month
Permanent employment
The Opportunity
Factories have invested billions in automation, yet production is still steered largely by people. Every night, a plan is computed for the next day, and the first disruption makes it obsolete. From then on, planners and shift leads juggle dependencies by hand. That is expensive, rarely optimal, and wastes much of what these factories were built for.
We are building the layer that takes over when the plan gets disrupted. It connects to factory data, models production, detects disruptions and bottlenecks as they emerge, simulates responses and recommends the best one.
About Us
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