AI Consultant

GFT TECHNOLOGIES SE; Województwo małopolskie; On-site; PLN 187,353 - 238,324; Full time

Job summary

A leading technology firm in Poland is looking for an AI Consultant to develop innovative AI and Machine Learning solutions within the Credit & Lending sector. The role entails working with advanced AI technologies to design, deploy, and maintain scalable systems, emphasizing the full AI product lifecycle and collaboration with stakeholders. Candidates should possess strong Python skills, experience in cloud environments like Azure or GCP, and the ability to communicate complex technical concepts effectively. The position offers a hybrid working arrangement.

Qualifications

• 3+ years of experience in Python programming.
• Knowledge of AI/ML technologies and architectures.
• Strong problem-solving and software engineering skills.

Responsibilities

• Develop cutting-edge AI and ML solutions in credit and lending.
• Build and deploy AI systems using Azure or GCP.
• Collaborate across teams and present technical solutions.

Skills

Python

LLM engineering

NLP

Deep learning

English communication

Kubernetes

Tools

Azure

GCP

LangChain

FastAPI

Spring

CI/CD

Job description

AI Consultant

Date: Mar 20, 2026

Location: Kraków, PL, 30-302

Working place: Hybrid

Type of contract: B2B

Salary range: 136–173 PLN net/h

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