AI Engineer

Our requirements

• Python (3+ years of hands-on experience)
• Practical experience with LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation)
• Knowledge of Agentic architectures
• Background in machine learning, deep learning, and NLP
• Vector Databases and SQL Databases (PostgreSQL)
• FastAPI, LangChain
• Knowledge of Microservices architecture, API design, Observability, and Concurrency models
• Azure and/or GCP – cloud development, deployment, and scaling
• Practical experience with TDD and BDD
• Strong English communication skills – ability to present technical solutions to business stakeholders

Optional

• Java (regular use) and Spring framework
• Redis (KV stores)
• Kubernetes and CI/CD tooling (Jenkins, Azure DevOps, GCP Cloud Build)
• Container-based development (Docker, Data containers)

Your responsibilities

• Design, test, and optimize prompts for Large Language Models (LLMs) to deliver high-quality, reliable outputs for Credit & Lending use cases.
• Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector database solutions to unlock insights from complex financial data.
• Participate in the full solution lifecycle – from problem discovery and prototyping through to design, implementation, and production deployment.
• Apply AI best practices to ensure fairness, transparency, and accountability across all models and applications.
• Co-author solution designs and architecture; maintain and evolve products in production.
• Utilize cloud platforms (Azure, GCP) for the development, deployment, and scaling of AI models.
• Write and maintain high-quality, testable, and reusable code.
• Collaborate with a cross-functional team to align technical efforts with strategic goals
• Note: Detailed project information will be shared during the recruitment process.

About the project

This is how we organize our work

This is how we work on a project

• BDD
• TDD
• Continuous Deployment
• Continuous Integration
• DevOps
• issue tracking tools
• test automation
• testing environments

What we offer

• Flexible cooperation model
• Hybrid work setup – 6x/month from the office in Kraków
• Collaborative team culture – work alongside experienced professionals eager to share knowledge
• Continuous development – access to training platforms and growth opportunities
• Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
• High quality equipment – laptop and essential software provided

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance

Mindbox Sp. z o.o.