Responsibilities
- Help improve our existing ML-based products and build new features and services using LLMs.
- Context engineering — designing the right inputs, retrieval strategies, and prompt structures to get the best possible output from LLMs in production.
- Contribute to our software engineering efforts when needed, bridging the gap between ML and software engineering on the team.
- Context engineering LLM-based translation workflows — designing retrieval strategies, prompt structures, and input pipelines that maximize output quality.
- Productionizing the prototypes that prove their value.
- Staying current with LLM research & tools, bringing relevant findings back to the team.
- Constructing and evaluating experiments to measure what actually works.
Requirements
- 2–3+ years of relevant experience from areas such as ML engineering, AI engineering, or software engineering with a strong ML focus
- Hands-on experience with LLMs and prompt/context engineering — either professional or through substantial personal projects.
- Experience with best practices and building production grade systems in Python.
- Experience constructing and evaluating experiments.
- A strong analytical mindset — you think in terms of hypotheses, baselines, and measurable outcomes
- A keen interest in the rapidly evolving LLM space and tooling.
Nice to Have
- Knowledge of other programming languages is considered a bonus.
- Experience with: Context engineering — designing retrieval, chunking, and prompt strategies for production LLM systems
- Building agentic products or prototypes
- Training or fine-tuning ML models
- LLMOps — deployment, monitoring, evaluation, and iteration of LLM-based services
- Building production-grade, scalable software systems
Benefits
- Flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas
- Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture
- International company with over 300 employees.
- Full-time FlexiWire@home option for remote work.
- Excellent location in cool and modern offices in the city center, with a great rooftop terrace and a view over the Town Hall Square
- Private health insurance
- Working in an international environment—more than 20 different nationalities
- Dog friendly atmosphere
- Big kitchen with access to organic fruits, nuts and biscuits and coffee.
- Social area and game room (foosball table, darts, and board games)
- Bike and car parking
Additional Information
- We take care of our people and initiate many social get-togethers from Friday Bars a to Summer or Christmas parties. We have fun!
