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Senior AI/ML Backend Engineer – Large Language Models & RAG

Krakow
Hybrid

27 720 - 33 600

PLN

(B2B)

19 900 - 24 000

PLN

gross (Employment Contract)

Java Python SQL
English
Senior
Credits
AI Engineer

Unleash innovation in AI — shape the future of Credit & Lending solutions!

Kraków-based opportunity with hybrid work model.

As a Senior AI/ML Backend Engineer, you will be working for our client, a leader in financial technology, developing cutting-edge AI-driven applications for Credit & Lending fields. You will contribute to building sophisticated models leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and cloud solutions, driving impactful innovations in financial services.

Your main responsibilities:

  • Design, test, and optimize prompts for LLMs to ensure high-quality outputs for Credit & Lending use cases.
  • Develop and implement solutions using RAG and vector databases to extract insights from complex financial data.
  • Participate in the full lifecycle of AI solutions, from problem discovery and prototyping to deployment and scaling.
  • Apply AI best practices to promote fairness, transparency, and accountability across models and applications.
  • Collaborate with cross-functional teams to align technical efforts with strategic business goals.
  • Write and maintain high-quality, reusable, and testable code utilizing cloud platforms (Azure, GCP).
  • Co-author solutions architecture and maintain products in production environments.

You're ideal for this role if you have:

  • 3+ years of experience in Python and Java development.
  • Proficiency with frameworks like FastAPI, LangChain, and Spring.
  • Strong knowledge of SQL (PostgreSQL), Vector Databases, and KV stores such as Redis.
  • Experience with Microservices architecture, API design, Kubernetes, CI/CD tools (Jenkins, Azure DevOps, GCP Cloud Build).
  • Practical expertise in TDD, BDD, and working with LLM architectures in domain-specific data.
  • Knowledge of RAG, Prompt Engineering, and Agentic architectures.
  • Background in machine learning, deep learning, NLP, and experimenting with LLMs for AI solutions.
  • Fluent English communication skills, with the ability to present technical solutions clearly to business stakeholders.

It is a strong plus if you have:

  • Certifications or experience in cloud infrastructure, microservices, or advanced NLP techniques.

Language required for the role: English — Fluent

Eligibility to work in Europe: Only candidates with an existing legal right to work in the European Union will be considered for this role.

#MAKEYourCareerBETTER

Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

Internal number #10400

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