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.
As our first 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 OpenAI's GPT, Anthropic's Claude, Google's Gemini, and Meta's Llama) that our internal teams will use daily.
Your day-to-day: * Build AI applications using Python, LLMs & RAG. * Conduct research with new LLM technologies and frameworks (with a focus on AI code editors and 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. * Promote the adoption and understanding of AI within Oxylabs.
Gross salary: 3400 - 5600 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies. To support your professional growth and make you feel taken care of, we’ve put together an expansive benefit package. It covers learning, well-being, celebration, and much more — learn all about it here: https://career.oxylabs.io/blog/our-work-benefits/
Proficiency in at least one programming language, ideally Python. Experience with LLMs (e.g., OpenAI/Anthropic/Gemini APIs) and AI application development. Experience with cloud infrastructure (ideally Google Cloud). Knowledge of best DataOps practices and tools including version control systems (e.g., Git), Docker, and CI/CD. You have an interest and passion for AI applications, as evidenced by work, personal projects, or academic experience. You have a high degree of ownership. You have an ability to prototype solutions quickly. You have a technical aptitude and comfort with engineering-related discussions. You're excellent at communicating in both written and spoken Lithuanian and English.
Nice to have: Familiarity with agent frameworks (e.g., LangChain) or workflow automation tools (e.g., n8n.io). Proficiency in deploying and optimizing open-source AI models (e.g., Llama) along with familiarity with related tooling (e.g., Ollama). Background in Machine Learning beyond LLMs (e.g., computer vision, traditional ML).
