Senior AI Engineer

TL;DR

Senior AI Engineer (LLM): design, build, and operate production-grade AI applications integrating large language models into Supply Chain & Finance workflows with an accent on reliability, safety, observability, and maintainability. Focus on developing backend services and APIs, prompt engineering, structured outputs, tool calling, and implementing safety controls.

Location: Krakow, Poland (Hybrid: 60% office, 40% remote)

Company

Trailblazers in pet e-commerce with over 25 years experience, serving 12 million customers across Europe from offices in Munich, Madrid, Krakow, Wroclaw, London, and Vienna.

What you will do

• Build and operate production-grade AI services and backend applications in Python
• Design and implement LLM-powered workflows including prompt design, context management, structured outputs, and tool calling
• Define robust contracts for APIs and AI outputs
• Test, evaluate, and improve AI services through automated testing, prompt iteration, and evaluation
• Implement safety and reliability controls such as validation, guardrails, fallbacks, and error handling
• Monitor production systems using logs, metrics, traces, and AI observability tooling
• Collaborate with engineers, product owners, and stakeholders to deliver production-ready solutions
• Continuously improve systems through model upgrades and operational optimisation

Requirements

• Strong Python and backend engineering skills for production-grade services and APIs
• Proven experience developing and shipping LLM-powered applications to production
• Strong understanding of prompt engineering, structured outputs, context management, and tool calling
• Experience integrating foundation models and LLM platforms such as Azure OpenAI, OpenAI, or Bedrock
• Strong experience in API design, testing, deployment, observability, evaluation, and failure handling
• Solid understanding of AI safety, reliability, and evaluation including guardrails and output validation

Nice to have

• Experience with LLM orchestration frameworks such as LangChain, RAG, or graph databases
• Familiarity with platform engineering practices like Infrastructure as Code
• Experience working with Java or Kotlin
• Ability to prototype quickly using Streamlit or Jupyter notebooks
• Background in applied NLP tasks such as classification or PII detection

Culture & Benefits

• Hybrid working: 60% office in Krakow, 40% remote
• Option to work 20 days abroad in approved countries
• Private medical care, life insurance, Multicafeteria system including Multisport card
• Two extra vacation days plus days off on 24th and 31st December
• Subsidised transport or bike leasing, 20% discount on products
• Development opportunities, training, support, and wellbeing offers