Data & AI Engineer

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 & 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.

Your skills & experience:

• 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).

Our tech stack*:

• Google Cloud Platform (Pub/Sub, GCS, BQ) for ingestion, storage and warehousing.
• DBT and SQL for data modelling;– PowerBI and Superset for data visualisation.
• Python for automation.
• Airflow for orchestration.
• Kubernetes/Argo CD for deployment.
• Streamlit for data applications.
• nexos.ai for LLM routing.

*We do not expect candidates to master or know all of the technologies from the get-go.

Our 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 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.