AI Engineer
This role focuses on designing end-to-end AI solutions, bridging research-grade LLMs with production-grade MLOps while optimizing for scalability and real-world deployment. Candidates should balance hands-on model development with infrastructure expertise to ensure seamless integration and continuous performance monitoring.
Skills required
About this role
What would you be doing?
Designs, builds, and deploys AI solutions (LLMs and traditional machine learning models), from Proof of Concept (PoC) to production.
Responsibilities:
- Implementing and integrating AI models (fine-tuning, RAG, ML pipelines)
- Deploying models to production and maintaining them (MLOps, monitoring, evaluation)
- Working with data: feature engineering, data quality, and dataset preparation
Qualifications
What are we looking for?
- Python and key libraries (PyTorch/TensorFlow, scikit-learn, LangChain/LlamaIndex)
- LLM technologies: prompt engineering, RAG, fine-tuning, embeddings, vector databases (e.g., Qdrant, pgvector)
- Traditional ML: supervised and unsupervised learning models, evaluation, and validation
- MLOps: containerization (Docker/Kubernetes), CI/CD, MLflow, model serving (vLLM, Triton)
- SQL, cloud platforms and/or on-premises infrastructure
- Independently delivers tasks within a defined solution architecture.
- English and Polish speaker.
Additional Information
What do we offer you?
We offer:
- Full-time and permanent employment contract or contractor mode
- Hybrid setup in Warsaw Offices.
- Professional growth possibilities & learning opportunities
- Possibility to join a multicultural team & work in the international environment
- Variety of benefits to support your physical, emotional and financial wellbeing: private medical insurance, life insurance, lunch and transport card as part of the flexible remuneration pack, and online language classes
- Smart Office Pack
If you are passionate about data, development & tech, we want to meet you!
Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).