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Location
Remote/Hybrid (Poland)
Seniority
Senior
Overview
Company
Impact
Profile match
Antal is a professional recruitment and human resources consultancy headquartered in Warsaw, Poland, where it has been operating since 1996. The firm specializes in permanent recruitment, executive search, HR consulting, and outsourcing services such as recruitment process outsourcing and IT contracting. It maintains a strong presence across the Polish market and the wider Central and Eastern European region, catering to specialized sectors including finance, engineering, and technology.

AI / ML Engineer (Mid / Senior) - LLM, RAG, Python

Kraków, Poland | Hybrid model (2 days per week in the office)

Rate: 180-220PLN netto

For our client, we are looking for AI / ML Engineers (Mid and Senior level) to join a small, highly skilled engineering team building cutting-edge AI solutions for complex financial data and decision-making systems.

This is an exciting opportunity to work on flagship Artificial Intelligence and Machine Learning initiatives, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern ML techniques to solve real-world business challenges within the Credit & Lending domain.

You will be involved in the full lifecycle of AI solutions-from discovery and experimentation through design, development, deployment, and optimization.

Key Responsibilities

As an AI / ML Engineer, you will:

  • Design, test, and optimize prompts for Large Language Models (LLMs)
  • Build intelligent solutions using Retrieval-Augmented Generation (RAG) and vector databases
  • Develop scalable services and APIs powering AI-driven applications
  • Work across the full AI solution lifecycle, from ideation and prototyping to production deployment
  • Collaborate closely with engineering, product, and business teams to translate complex business needs into technical solutions
  • Write clean, maintainable, and well-tested code
  • Deploy and scale AI workloads using cloud platforms (Azure or GCP)
  • Apply AI best practices to ensure fairness, transparency, reliability, and performance of ML systems

Additional Responsibilities for Senior Engineers

  • Lead architecture and technical design decisions
  • Drive the technical direction of AI initiatives
  • Mentor and support other engineers within the team
  • Evaluate, prototype, and introduce new AI technologies and approaches
  • Contribute to engineering best practices and standards

Requirements

Essential Skills and Experience

  • Strong software development experience in Python, particularly within the AI/ML ecosystem
  • Experience with frameworks such as FastAPI, LangChain, or similar
  • Knowledge of PostgreSQL and vector databases
  • Experience designing microservices, APIs, observability solutions, and concurrent systems
  • Hands-on experience with Azure or GCP
  • Practical knowledge of containers, Kubernetes, and CI/CD practices
  • Understanding of LLM architectures and working with domain-specific datasets
  • Experience with RAG, prompt engineering, or agent-based AI architectures
  • Solid understanding of Machine Learning, NLP, and Deep Learning concepts
  • Experience working with TDD and/or BDD
  • Strong English communication skills and the ability to explain technical concepts to non-technical stakeholders
  • Familiarity with Java will be considered an advantage

Additional Requirements for Senior Candidates

  • Experience leading technical projects and initiatives
  • Proven track record in architecture and technology decision-making
  • Mentoring and coaching engineers
  • Driving innovation and experimentation in AI-powered systems

What We Offer

  • Opportunity to work on advanced AI and LLM solutions addressing real business challenges
  • Significant influence over architecture and AI strategy
  • Collaboration within a highly skilled, high-impact engineering team
  • Exposure to modern technologies across LLM, RAG, Machine Learning, and cloud infrastructure
  • Stable yet innovative environment where AI solutions are delivered into production
  • Hybrid working model with 2 days per week in the Kraków office
  • The chance to design, build, and scale AI systems that create measurable business value

If you are passionate about building production-grade AI solutions-not just experimenting with models-and want to work on systems that make a real impact, we would love to hear from you.

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