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

Data & AI Engineer

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