Job Description

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.

The team waiting for you:

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.

In this role, you’ll:

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.

Your skills & experience:

• 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).

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;

Salary & Benefits:

Gross salary 3400-5600 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.

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. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/

Up for the challenge? Let’s talk!