Job Opportunities API

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!