Founding Engineer

build for those who build

opus builds the platform to deploy AI agents across industrial supply chain operations. Our mission is to strengthen Europe's industrial backbone by making operational processes future-proof. The agents automate the purchase order lifecycle end to end, giving companies control over their single largest cost driver. They run on the supply chain context graph: a real-time intelligence layer built from ERP data and the knowledge that today only lives in inboxes and people's heads. That graph is where the value sits, and it carries agent use cases far beyond procurement. Leading companies already trust opus AI agents and are transforming their processes into a competitive advantage with us.

we are in production with enterprise customers – scaling rapidly and shipping new features as we speak.

we secured $6M in funding from Project A, Speedinvest, Sequoia Scouts and industry veterans like Marcell Vollmer (former Chief Digital Officer & Chief Procurement Officer of SAP).

we are a team of entrepreneurs, industry experts, and engineers driven by a joint ambition – to safeguard the economic foundation of Europe for future generations.

TASKS

Your impact

• Own the 0-to-1 Journey – Architect and ship new features from first principles. You will be the primary builder of systems where no blueprint exists, ensuring every line of code balances immediate impact with long-term scalability
• Build Effective Agentic Solutions – Design agents that utilize LLMs for reasoning, document extraction, and the end-to-end automation of complex enterprise processes. You will implement AI best practices to ensure our autonomous agents act with precision, security and industrial-grade reliability
• Architect Enterprise-Ready Systems – You will design mission-critical, secure, and resilient AI solutions. Your work will be held to the highest reliability standards to ensure data integrity and security for global industrial leaders
• Execute Across the Stack – You will take full ownership of the user journey. Whether it's refining the React frontend, architecting complex backend logic, or managing cloud infrastructure, you do whatever it takes to ship high-quality, end-to-end features

REQUIREMENTS

What makes you a great fit

• Languages and Frameworks – You have worked in Python and frameworks like FastAPI, Pydantic, SQLAlchemy. You are familiar with TypeScript and frontend libraries like React and are able to build intuitive interfaces for complex workflows
• AI and LLMs – You have practical experience with prompt engineering and agentic frameworks (e.g. PydanticAI, Google ADK, LangGraph). You may even have production experience with LLM observability and evaluation
• Most importantly, you are a fast learner who is eager to learn any technology required to solve the problem at hand
• High Agency – You see a critical problem outside your immediate scope, like an infrastructure bottleneck or a customer friction point, and you fix it without being asked, exercising good judgment while doing so
• Pragmatic & Fast – You value "good enough to ship" over "perfectly engineered.” You use AI assistants (e.g. Cursor, Copilot, Gemini) to automate the mundane so you can focus on the highest-value tasks
• Nice-to-Have’s – German Language Proficiency – While English is our primary language, German fluency is a strong plus to help us better support our core industrial customer base

BENEFITS

The opus package

• Competitive compensation + meaningful equity – real ownership in opus’ long-term success
• Impact from day one – high ownership, fast customer feedback, responsibility for outcomes
• AI-first, builder environment – the best tools, low overhead, strong bias to ship and learn
• 28 vacation days & flexibility when you need to recharge

‍ Our interview process

1. Phone Screen (30 min) - Quick intro to align on the role, your background, and timing before you commit real time

2. Discovery Call (30 min) - We get to know each other and talk about culture, agency, judgment, and how you think about products

3. Coding Assessment (60 min) - A hands-on session focused on execution and pragmatism, including how you use tools (and AI) to ship

4. System Design (60 min) - Deep dive into architecture and technical strategy: trade-offs, scalability, and long-term thinking

5. Founder Interview (30 min) - Final conversation to align on mission, communication, expectations, and mutual fit