AI Engineer

GFT TECHNOLOGIES SE; Województwo małopolskie; On-site; PLN 177,109 - 271,522; Full time

Benefits offered by this job

Medical insurance

Lunch subsidy

Sports benefits

Life insurance

Online training and certifications

Work From Anywhere policy

Job summary

A leading tech consulting firm in Poland is seeking experienced engineers to join their team in developing cutting-edge AI and Machine Learning solutions for the banking sector. The role focuses on LLM engineering, RAG development, and deploying AI systems with Azure or GCP. Candidates should have strong expertise in Python and a solid understanding of LLM architectures and machine learning techniques. The position offers a hybrid work environment and a comprehensive benefits package tailored to individual needs.

Qualifications

• 3+ years of experience using Python for software development.
• Hands-on experience with Azure or GCP services.
• Strong understanding of LLMs and machine learning fundamentals.

Responsibilities

• Develop and deploy AI/ML solutions in a banking environment.
• Design and optimize LLM-based applications.
• Collaborate with teams on data pipelines and domain-specific datasets.

Skills

LLM engineering

RAG development

Python (3+ years)

Java

LangChain

FastAPI

Data containers

Strong communication skills in English

Problem-solving skills

Ability to experiment and iterate

Tools

Kubernetes

Azure

GCP

CI/CD (Jenkins, Azure DevOps)

Job description

Location: Kraków, PL, 30-302

Working place: Hybrid

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.

• 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
• 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 one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office 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
• Work From Anywhere (up to 140 days/year abroad)
• Social events