AI/ML Engineer focusing on Generative AI and LLMs for crafting scalable healthcare solutions. Collaborating with teams to translate business needs into smart AI applications.
About the role
- Building an intelligent AI shopping assistant while shaping natural language understanding systems. Work includes design, implementation, and teamwork for a critical client project.
Responsibilities
- Designing, implementing, and deploying end-to-end NLP and deep learning systems
- Building LLM-powered applications that interact with real users
- Developing and maintaining production Python services
- Exposing models and pipelines via REST APIs (FastAPI, Flask)
- Working on retrieval models and techniques (RAG, embeddings, ranking)
- Evaluating, monitoring, and continuously improving model and system quality
- Scaling systems to handle enormous volumes of requests
Requirements
- Proven experience designing and deploying end-to-end NLP and deep learning solutions in production environments
- Hands-on experience building LLM-powered production systems (e.g. GPT, Claude, Gemini), including prompt engineering, evaluation, fine-tuning, and user-facing integrations
- Python proficiency with experience building and maintaining reliable production services and data pipelines
- Strong software engineering mindset, including code quality, testing, scalability, and production deployments
- Experience building RESTful APIs (FastAPI, Flask) to expose ML/LLM capabilities
- Curiosity and commitment to continuous learning in the NLP/LLM/AI space
- Collaborative team-player with strong communication skills
- Eagerness to learn and grow in a fast-moving environment for Mid AI Engineer
- Strong understanding of scalability, performance, and system design for Senior AI Engineer
Benefits
- Remote-first work with flexible hours
- Possibility to use one of our 2 offices in Poland (Warsaw or Szczecin), or book a Regus coworking space in your city
- Individual work tools – Macbook Pro, Dell screen, JBL headphones? You can tailor the equipment to your needs
- Sport & wellness benefit (Kafeteria MyBenefit)
- Private medical care
- A comprehensive benefits package after transitioning to our partner, including employee benefits, training opportunities, and occasional bonuses
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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