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Copy of Machine Learning Software Engineer – Optimization & LLM Development (m/f/x)

Remote:

Full Remote

Contract:

Full time

Work from:

European Union

Offer summary

Qualifications:

BSc in Computer Science or equivalent experience., Proficiency in software engineering and Python., Experience with modern development practices., Understanding of software architecture principles..

Key responsabilities:

Focus on optimization and LLMs.
Maintain the product and deliver features.

Quantagonia Startup https://www.quantagonia.com/

11 - 50 Employees

See more Quantagonia offers

Job description

Join Our Mission

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!

We have been featured in major publications such as Handelsblatt and theÂ Frankfurter Allgemeine Zeitung (FAZ). If you want to learn more about Quantagonia, visit our website.

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 (e.g., hatch/poetry/etc.), testing (e.g., pytest), and linting/formatting (e.g., 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 (e.g., 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

High responsibility and potential to make an impact and shape Quantagoniaâs products.
Work with a passionate, international team of scientists, mathematicians, and engineers.
Flexible working environment that you can adapt to meet your personal needsâyour happiness and productivity are what matter most.
Flat hierarchies with a direct and open approach to your personal development and role within the team.
Opportunity to learn new technologies, from quantum computing and AI to software development and more.

We prefer a hybrid working model, with at least some time in our Munich or Frankfurt am Main offices in Germany (e.g., 1-2 days a week in-office).

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About us

Based in Germany, Quantagonia is making advanced decision intelligence accessible to companies across the spectrum and reducing barriers to entry. This initiative allows organizations to navigate complex challenges more effectively, fostering game-changing strategic advantages. The integration of cutting edge quantum computing technology, further fosters companies to create future-proof strategic advantages. This is your opportunity to have a significant positive impact on the growth of a company, build your own skillset, and experience the satisfaction of working at the forefront of a category that will shape the future of society.
We prefer an on-site working model (e.g. remote work of maximum 1-2 days per week) in our office in Frankfurt am Main or Munich, Germany. When working remotely, you need to be located in an EU country.