We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.  What’s in store for you: You’ll be solving complex challenges and maintaining our own infrastructure with 60PB+ monthly data traffic. Here are its scale and maturity in numbers: - 6PB+ Ceph storage - 60PB+ monthly data traffic through our systems - 300k+ service requests/sec processed - 500k+ Kafka messages/sec streamed The team waiting for you: We’re building the AI layer on top of one of the world’s largest B2B data platforms. Our product lets users ask questions in plain language and get data-driven answers from millions of company and professional records. Think of it as giving our dataset a brain.   We’re forming a dedicated squad to take this from promising product to industry-leading platform. If you’re a Python developer who’s been itching to go deep on LLMs, RAG, and agentic AI — not just toy projects, but production systems at scale — this is your chance. You’ll work alongside experienced Staff Engineers, ship to real customers, and help define how AI reshapes B2B data intelligence. We have a seat ready for you! IN THIS ROLE, YOU’LL: * Design, develop, and maintain Python backend services powering our AI products. * Build and optimize LLM-powered pipelines — RAG, semantic search, natural language query processing. * Develop agent workflows and tool-use patterns for the AI Data Assistant. * Integrate with large-scale data infrastructure — vector databases, search engines, and analytical query engines. * Design and implement API endpoints to serve AI-generated insights to client-facing products. * Optimize prompt engineering, LLM output quality, and system reliability. * Collaborate with cross-functional teams (Data Engineering, API, Client Side) to deliver product features. * Monitor and improve performance, latency, and cost efficiency of AI services. * Contribute to evaluation frameworks and testing strategies for AI-powered features. * Share knowledge and help build the team’s collective expertise in applied AI. YOUR SKILLS & EXPERIENCE: * 2+ years of professional backend development experience. * Experience building and deploying production-grade APIs. * Familiarity with LLM APIs (OpenAI, Anthropic, or similar) — professional or personal projects. * Understanding of retrieval-augmented generation (RAG) patterns or strong willingness to learn. * Experience working with databases — relational (PostgreSQL/MySQL) and/or search engines (Elasticsearch). * Experience with Docker and containerized environments. * Strong problem-solving skills and genuine curiosity about AI technologies. * Ability to work with ambiguity and evolving requirements in a fast-moving product space. NICE TO HAVE: * Experience with vector databases (Qdrant, Pinecone, Weaviate). * Experience with LLM orchestration frameworks (LangChain, LlamaIndex). * Experience with agent/tool-use patterns and agentic programming. * Data engineering background — Kafka, Spark, Trino, dbt, or similar. * Experience with prompt engineering and LLM evaluation. * Experience with Kubernetes. * Familiarity with observability tools (Grafana, Sentry, OTel). * Understanding of NLP concepts (embeddings, semantic similarity, tokenization). SALARY & BENEFITS: Gross salary: 3200-5600 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies. Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing. Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app. Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together. Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/. Up for the challenge? Let’s talk!