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Open nowPosted 125 days ago

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

antalpl1,064 open roles

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Your applicationOpen nowAI / ML Engineer (Mid / Senior) – LLM, RAG, Pythonantalpl

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. antalpl postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 125 days ago

antalpl median: 1 days open

The posting

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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