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: 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 & RAGConduct 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 othersCollaborate with cross-functional teams to identify AI-driven opportunities and integrate various solutions into their operationsFine-tune and optimize prompt strategies to enhance accuracy, reliability, and efficiency of LLM outputsPromote the adoption and understanding of AI within OxylabsYour skills & experience: Proficiency in at least one programming language, ideally PythonExperience with LLMs (e. g.
, OpenAI/Anthropic/Gemini APIs) and AI application developmentExperience with cloud infrastructure (ideally Google Cloud)Knowledge of best DataOps practices and tools including version control systems (e. g. , Git), Docker, and CI/CDYou have an interest and passion for AI applications, as evidenced by work, personal projects, or academic experienceYou have a high degree of ownershipYou have an ability to prototype solutions quicklyYou have a technical aptitude and comfort with engineering-related discussionsYou're excellent at communicating in both written and spoken Lithuanian and EnglishNice 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)Our tech stack*: Google Cloud Platform (Pub/Sub, GCS, BQ) for ingestion, storage and warehousingDBT and SQL for data modelling;– PowerBI and Superset for data visualisationPython for automationAirflow for orchestrationKubernetes/Argo CD for deploymentStreamlit for data applicationsnexos. ai for LLM routingWe do not expect candidates to master or know all of the technologies from the get-goOur Salary & Work Benefits Package: Gross salary: 3400 - 5600 EUR/month + bonuses.
Keep in mind that we are open to discuss a different salary based on your skills and competenciesTo 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
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