Software Engineer

Phantasma Labs Limited — Germany · Posted ~2 hours ago

Mid Remote

Skills

Software development Production scheduling Artificial intelligence Reinforcement learning Software engineering Python ERP MES

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Summary ✨ AI‑Generated

Join a remote-first engineering team building AI-driven software for modern manufacturing. You will help develop, run, and continuously improve intelligent systems that optimize production planning and scheduling, using advanced machine-learning techniques and integrating with established industrial software workflows.

Highlights

Remote-first opportunity within a lean international engineering team, working on advanced AI-driven solutions for manufacturing and solving challenging production-planning problems.

Description

At Phantasma Labs, we’re building smart software that helps factories plan better. Our AI co-pilot helps factories plan and schedule production more efficiently, adapt to changes faster, and make the most of available resources – without needing tons of data or complicated tools. Instead of relying on massive historical datasets, our models are trained in simulated factory environments using reinforcement learning, which helps us find better solutions much faster than traditional systems. We work with manufacturers across Europe and the US and team up with ERP and MES providers to bring our solution directly into real production workflows. We’re based in Berlin, but remote-first, so you don’t have to be here to join us. We’re a lean, international team with big ambitions, building what we believe is one of the most advanced production scheduling tools in the world. Tasks As a Software Engineer at Phantasma, you’ll support key activities to build, run and improve our AI-driven production planning software and connect it to customer environments: Develop production-ready backend code in Rust Develop unit tests and integration tests to keep quality high as we ship fast Debug and resolve issues in staging and production Interface with customer systems (ERP/MES and surrounding tools) Convert and map structured and semi-structured customer data into our internal formats Join customer calls, gather requirements, and translate them into robust implementations Contribute to API design and overall system architecture Build and maintain frontend features in React / TypeScript Deploy and operate services on Kubernetes cloud infrastructure Support MLOps workflows in partnership with the ML team You’ll be part of our backend team and contribute directly to delivering and maintaining our software in real factory environments: turning customer requirements into production-ready features, shipping reliably, and keeping systems stable across staging and production. It’s a hands-on role with real ownership from day one. Your ideas will be heard, and implemented if they improve the product. Requirements Must haves Strong willingness to learn and take ownership Flexibility to grow with the role as responsibilities evolve A collaborative spirit and comfort working in a flat hierarchy Good communication skills in English (written and spoken) Solid ability to manage time, tasks, and project priorities independently Nice to haves 1+ year of Rust experience (professional, academic, or hobby projects) Experience building frontends, ideally using React DevOps experience (e.g. Kubernetes, Ansible) Experience with joining calls and interacting with customers Experience in manufacturing environments or industrial software Benefits Ownership from day 1: small team, fast feedback, visible results Collaborate with a strong team: work alongside highly skilled, experienced software engineers building production-grade systems, and ML specialists working on cutting-edge AI optimization A supportive, open culture: clear communication, strong collaboration and flat hierarchies Flexible working hours & hybrid setup: work remotely or from our Co-working space in Berlin Mitte – whatever helps you do your best work A company laptop to support your work Sounds Like a Fit? If this sounds like your type of challenge, we’d love to hear from you! Just fill out our short application form to tell us who you are, what you’ve built so far and why this role excites you.