AI Engineer at an AI Startup
All Cities
OTS – OTS Other /
Remote /
Remote
We are helping our client – an ambitious startup – find a talented and versatile Machine Learning Engineer to join their team. The company is transforming the life insurance industry with advanced AI and machine learning solutions, empowering insurers to become truly data-driven and make strategic, insight-based decisions at the highest corporate levels.
About the role
In this role, you will take ownership of end-to-end development, having a direct impact on both the product and the technical decisions that shape it.
Requirements
- Profile:
- Proven ability to lead feature development, from concept to production.
- Bs.c/ Ms.c in Computer Science / Software Engineering or a related field.
- ML:
- 3+ years of hands-on experience in developing and deploying end-to-end Python-based data and ML pipelines
- Good understanding of ML, and in particular of: feature selection methods, boosting-based classifier methods, ensembling methods, XAI methods.
- Extensive hands-on experience with Scikit-learn, MLflow (or a similar framework), Pandas, NumPy, Optuna (or a similar framework), XGBoost, SHAP.
- Advantage: Hands-on experience with engineering and modeling large temporal tabular data.
- LLMs:
- 1+ year of hands-on development experience with agentic pipelines based on Langchain or a similar framework.
- 1+ year of hands-on development experience with RAG systems.
- Theoretical understanding of transformers and LLM architectures.
- Advantage: Experience with LLM evaluation.
- Tools:
- Comfortable with using and controlling LLM-based development tools (e.g., Claude Code, Cursor, etc.).
- Experience with the AWS cloud environment.
- 3+ years of work experience with Amazon Web Services (AWS)
- Experience with Python IDEs (e.g., Pycharm, VSCode, etc.)
- Advantage: Experience with SQL databases.
Responsibilities
- Develop and deploy end-to-end ML pipelines from data to production.
- Build and optimize ML and LLM-based solutions, including RAG and agentic pipelines.
- Collaborate with product and engineering teams on key technical decisions.
- Ensure scalable and efficient ML infrastructure on AWS.
Benefits
- Work in a highly professional team. Informal and friendly atmosphere in the team.
- Paid vacation — 20 business days per year, 100% sick leave payment
- Equipment provision
- Partially compensated educational costs (for courses, certifications, professional events, etc.)
- Legal and Accounting support in Poland
- Ability to work from our comfortable downtown office in Warsaw
- 5 sick days per year
- Medical insurance (after the end of the probationary period)
- English and Polish classes 2 times a week (online)
- Bright and memorable corporate life: corporate parties, gifts to employees on significant dates
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
