Senior AI Engineer
At a glance
Senior AI Engineering role at GFT Technologies. Kraków.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build LLM applications by testing and refining prompts, then develop retrieval-augmented systems and vector search
- Design AI systems that can scale, and deploy them on Azure or GCP with containers and Kubernetes
- Explore, prepare and model data, applying deep learning and NLP to business problems
- Take AI products from early discovery through production, ongoing support and collaboration with business and engineering partners
- Present technical choices, risks and recommendations, while building responsible systems with fairness and transparency
What you bring
- At least three years using Python professionally
- Practical experience with Azure or GCP, containers, Kubernetes and a CI/CD platform
- Hands-on knowledge of LLM design, RAG, prompt work, machine learning lifecycles, deep learning and NLP
- Strong software engineering foundations, including TDD or BDD, API design and microservices
- Clear English communication skills, including explaining technical decisions and business impact
Who this fits
This senior role suits an AI engineer who can take LLM and machine-learning systems from experimentation into production and work across technical and business teams. You’ll work from the client’s Kraków office two days each week. The role involves collaboration with international, cross-functional teams.
From the employer
Type of contract: Employment contract
Salary range: 15 870–24 330 PLN gross/m
What will you do?
You will join a team of engineers developing cutting‑edge AI and Machine Learning solutions within the Credit & Lending domain in an international banking environment. The project focuses on leveraging state‑of‑the‑art AI technologies to build scalable systems that support business processes, data‑driven decision‑making, and operational efficiency. You will work across the full lifecycle of AI/ML development—from discovery and prototyping, through model and system design, to production deployment and maintenance—using LLMs, RAG, modern data platforms, containerized environments, and cloud‑native solutions in Azure or GCP.
Your tasks
- LLM engineering and RAG development
- Designing, testing, and optimizing prompts for LLM‑based applications
- Developing and integrating RAG systems and vector search solutions
- Implementing responsible AI/ML solutions with fairness, transparency, and accountability
- Designing and building scalable architectures leveraging LLMs and ML
- Deploying AI systems using Azure or GCP with containerization and Kubernetes
- Building applications following engineering best practices and clean code principles
- Conducting data exploration, preparation, and modeling
- Collaborating with domain experts on data pipelines and domain‑specific datasets
- Applying deep learning and NLP techniques to business problems
- Working closely with engineering, product, and business stakeholders
- Presenting technical solutions, constraints, risks, and recommendations
- Participating in the full AI product lifecycle from idea to production
Your skills
- Python (3+ years); Java is a plus
- Experience with LangChain, FastAPI, Data containers, Spring
- Knowledge of microservices architecture, observability, monitoring, API design, concurrency models
- Hands‑on experience with Azure or GCP, containers, Kubernetes, CI/CD (Jenkins, Azure DevOps, GCP Cloud Build)
- Practical experience with TDD/BDD
- Strong understanding of LLM architectures and domain‑specific data modeling
- Experience with RAG, prompt engineering, agentic architectures, deep learning, NLP, ML lifecycle
- Ability to design, develop, and scale AI‑driven systems
- Strong software engineering fundamentals and problem‑solving skills
- Ability to experiment quickly and iterate toward production‑quality solutions
- Strong communication and presentation skills in English
- Ability to explain technical solutions and business implications clearly
- Comfort working with cross‑functional and multicultural teams
We offer
- Hybrid work in our client's office (Kraków) 2 days per week.
- Working in a highly experienced and dedicated team
- Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
- Online training and certifications
- Access to e‑learning platform
- Social events
GDPR clause
Based on Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such a data and repealing Directive 95 /46/EC (known as a “GDPR”), I hereby give consent to GFT Poland Sp. z o.o. (90-118 Łódź, ul. Kilińskiego 66) to process my personal data for the purpose of: a) ongoing recruitment process for the position I am applying; b) recruitment processes organized in the future.