Senior AI Engineer (All Genders)

Nasze wymagania: Strong Python and backend engineering skills for building production-grade services and APIs Proven experience developing and shipping LLM-powered applications in 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 discipline, observability, evaluation, and failure handling Solid practical understanding of AI safety, reliability, and evaluation, including guardrails, fallback patterns, and output validation A pragmatic approach to solving messy real-world problems with clean, maintainable systems Curious, delivery-focused, and comfortable working in a fast-moving technical landscape Mile widziane: Experience designing and operating LLM systems with orchestration frameworks such as LangChain, MCP, RAG, Graph databases Familiarity with platform engineering practices such as Infrastructure as Code and performance testing for production APIs Experience working with Java or Kotlin Ability to prototype and experiment quickly using tools such as streamlit and Jupyter notebooks Background in applied NLP tasks such as classification or PII detection O projekcie: We are looking for a Senior AI Engineer in Supply Chain & Finance area of zooplus to design, build, and operate production-grade AI applications. In this role, you will develop backend services and APIs that integrate large language models into business workflows, with a strong focus on reliability, safety, observability, and maintainability. This is an engineering-first role for someone with strong software engineering fundamentals and hands-on experience delivering LLM-powered systems to production. You should be comfortable owning services end to end, adapting them as models and requirements evolve, and helping teams adopt effective AI engineering practices. Zakres obowiązków: 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 measurable evaluation approaches Implement safety and reliability controls such as validation, guardrails, fallbacks, and error handling Monitor and improve production systems using logs, metrics, traces, and AI observability tooling Work closely with engineers, product owners, and domain stakeholders to turn ambiguous use cases into production-ready solutions Continuously improve systems through model upgrades, prompt iteration, and operational optimisation Oferujemy: 🐾 20% discount in our zooplus shop 📖 Internal and external training 🎈 Team events LI-Hybrid ✈️ Two extra vacation days and days off on 24th and 31st of December 🩺 Private medical care and life insurance 🍽️ Multicafeteria system including Multisport card