Data & AI Engineer

We're a team of 700+ professionals who develop cutting-edge web data gathering solutions for thousands of the world's best-known businesses, including Fortune 500 companies.

As our Data & AI Engineer, you'll be diving into the technical challenges of building internal AI-powered systems to help us make better-informed business decisions at Oxylabs.io. This is an excellent opportunity for an analytical thinker who enjoys hands-on technical work, has a passion for AI technologies, is eager to learn more, and wants to make a meaningful impact. You'll be developing and deploying AI-powered tools leveraging the latest AI models (including Anthropic's Claude, Google's Gemini, OpenAI's GPT) that our internal teams will use daily.

• Build AI applications using Python, LLMs & RAG;
• Conduct research with new LLM technologies and frameworks (with a focus on AI coding assistants) to keep our AI capabilities at the cutting edge and share your findings with others;
• Collaborate with cross-functional teams to identify AI-driven opportunities and integrate various solutions into their operations;
• Fine-tune and optimize prompt strategies to enhance accuracy, reliability, and efficiency of LLM outputs;
• Define AI evaluation metrics and benchmarking frameworks and implement monitoring systems to track LLM performance and costs
• Promote the adoption and understanding of AI within Oxylabs.

• Proficiency in at least one programming language, ideally Python;
• Hands-on experience with agentic development patterns and best practices (tool use, planning loops, evaluation);
• Experience with LLMs (e.g., Anthropic/OpenAI/Gemini APIs) and AI application development;
• Experience with cloud infrastructure (ideally Google Cloud or AWS);
• Knowledge of best DataOps practices and tools including version control systems (e.g., Git), Terraform, Docker, and CI/CD;
• You're excellent at communicating in both written and spoken Lithuanian and English.

Nice to have

• Familiarity with agent frameworks (e.g., LangChain, Claude Agent SDK, Google ADK) or workflow automation tools (e.g., n8n.io);
• Proficiency in deploying and optimizing open-source AI models (e.g., Llama, Qwen);
• Background in Machine Learning beyond LLMs (e.g., computer vision, traditional ML).

• 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.
• Vast internal & external learning resources
• Guilds, communities & 500+ professionals by your side
• Tesonet network & knowledge sharing
• Yearly workation
• Year-round internal & Tesonet community events
• Team building budget
• Cyber City office perks
• Hybrid work (3 office days/ 2 WFH) & WFA options
• Latest tools, gadgets & tech stack
• Extra days off
• Special Tesonet product deals
• Private health insurance
• 24/7 gym
• Physical well-being specialists
• Psychologist/psychotherapist sessions
• Inclusive family-related time-off policy