Join Our Mission

AtQuantagonia, our founders have built and scaled successful companies, including achievingUnicorn status. But throughout their journey, they saw arecurring problem: businesses struggled to solve their most pressing planning challenges because optimization has always been too complex and out of reach.

That's why we createdDecisionAI—thefirst-ever platformto makeAI-powered optimizationaccessible to everyone. For the first time, business users can solve critical planning challenges without needing deep expertise. Whether it's helping logistics companies reduce kilometers and costs, enabling manufacturers to optimize production processes, or supporting teams in solving intricate scheduling challenges,DecisionAIempowers businesses to make smarter decisions, faster—and opens entirely new possibilities for innovation.

We're looking for a dedicated and passionate machine learning software engineer. This is your opportunity to join our dynamic team and make a difference in a fast-paced startup focused on bringing advanced optimization and AI to the world. If you enjoy working on challenging problems and taking responsibility, you're exactly who we're looking for!

Please note: You must be an EU citizen or have work authorization for the EU to be eligible for this position.

Tasks

• Focus on the intersection of optimization and Large Language Models (LLMs). Proactively learn new technologies and contribute directly to our core product.
• Take responsibility for maintaining the product and delivering features on the roadmap. You will play a key role in product ownership, ensuring alignment with the roadmap and driving continuous improvement.
• Be a flexible and effective team player with excellent communication skills, an entrepreneurial mindset, and the ability to think creatively.

Requirements

• BSc in Computer Science or equivalent professional experience.
• Demonstrated proficiency in software engineering (any public projects?). Experience with at least one object-oriented language in a production environment, as well as Python.
• Experience with modern development practices (testing, CI/CD, Git workflows, code reviews). Familiarity with Python development best practices, including project management (eg, hatch/poetry/etc.), testing (eg, pytest), and linting/formatting (eg, ruff).
• Understanding of software architecture principles.
• Experience with data processing using the scientific Python stack (pandas, numpy, scipy).
• Mathematical optimization experience: PuLP or alternatives (Pyomo, CVXPY), commercial solvers (Gurobi, Xpress, CPLEX), and knowledge of mathematical modeling and metaheuristics.
• LLM development:
• Required: LangChain and LangGraph
• Nice to have: Hugging Face, PyTorch
• API development experience is a plus (eg, FastAPI, Flask).
• Strong communication skills, team-oriented with a sense of ownership, and a strong emphasis on code quality.
• Data-driven mindset with the ability to build solutions based on data insights.

Benefits

• Real Impact: Work directly with founders and see your contributions drive tangible results.
• Learn and Grow: Gain first-hand insights into building and scaling a business.
• Career Boost: Develop skills and experiences that open doors to future opportunities.
• On-Site Perks: All-inclusive office setup inFrankfurtorMunichwith some flexibility for remote work.
• Stay Healthy: Access to health and sports memberships.‍
• Team Spirit: Enjoy regular team events and offsites.

Ready to Build Something Amazing?
If you're excited about taking on big challenges, learning at the speed of a startup, and shaping the future ofApplied AI, we want to hear from you.Apply now and let's create the future of decision-making together!

About us

At Quantagonia, we're on a mission to make AI-powered optimization accessible to everyone. Founded by experienced entrepreneurs, we're solving real-world planning challenges with technology that's as impactful as it is easy to use. Join us in shaping the future, working with a team that values ​​your ideas and drives innovation every day—on-site in Frankfurt or Munich, with room for flexibility.

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