AI / ML Engineer (Mid / Senior) – LLM, RAG, Python
Antal Sp. z o.o. ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- ML ai
Antal Sp. z o.o. ·
AI / ML Engineer (Mid / Senior) – LLM, RAG, Python
📍 Cracow (2 days a week from the office)
We are looking for AI / ML Engineers (Mid or Senior) to join a small, highly skilled engineering team building cutting-edge AI solutions for complex financial data and decision systems.
You will work on flagship AI and Machine Learning initiatives, applying Large Language Models and modern ML techniques to real-world problems in the Credit & Lending domain. The team operates in a fast-moving but stable environment, where engineers collaborate closely with product and business stakeholders to deliver high-impact solutions.
We currently have two openings with different levels of ownership and technical depth, so both experienced Mid-level engineers and Senior Engineers are encouraged to apply.
Designing, testing, and optimizing prompts for Large Language Models (LLMs)
Building intelligent systems using Retrieval-Augmented Generation (RAG) and vector databases
Developing scalable services and APIs powering AI-driven applications
Working across the full lifecycle of AI solutions – from discovery and prototyping to production deployment
Collaborating with engineers, product teams, and business stakeholders to translate complex problems into technical solutions
Writing clean, testable, and maintainable code
Deploying and scaling AI workloads using cloud platforms (Azure or GCP) and containerized environments
Applying AI best practices to ensure fairness, transparency, and reliability in ML systems
Senior engineers will additionally:
Lead architecture and design decisions
Drive technical direction of AI initiatives
Mentor other engineers and contribute to engineering standards
Evaluate and prototype new technologies across the AI stack
Strong Python development experience (ML / AI ecosystem)
Familiarity with Java (used in parts of the platform)
Experience building services with frameworks such as FastAPI, LangChain or similar
Knowledge of SQL databases (PostgreSQL) and vector databases
Experience with microservices architecture, API design, observability and concurrency
Hands-on experience with cloud platforms (Azure or GCP), containers, Kubernetes and CI/CD
Understanding of LLM architectures and working with domain-specific data
Experience with RAG, prompt engineering, or agent-based AI architectures
Knowledge of machine learning, NLP and deep learning concepts
Experience with TDD / BDD practices
Strong communication skills in English and ability to explain technical concepts to non-technical stakeholders
Senior candidates should additionally bring experience with:
Leading technical projects and making architectural decisions
Mentoring engineers and shaping engineering practices
Driving experimentation and innovation within AI systems
Work on advanced AI / LLM systems solving real-world problems
Join a small, high-impact engineering team
Opportunity to shape architecture and AI strategy
Work with modern technologies across LLM, RAG, ML and cloud infrastructure
Hybrid work model – 2 days per week from the Kraków office
If you're passionate about building real AI systems rather than just experimenting with models, this role will give you the space to design, build and scale solutions that truly matter.