Oxylabs
Data & AI Engineer
HybridVilnius, Lithuania€3k–€6k/mApplications closedAI/MLInfrastructure
Our Take
Build internal AI systems using Python and LLMs (GPT, Gemini) to enhance business decision-making at Oxylabs.
What you’ll do
- Build AI applications using Python and LLMs RAG
- Conduct research on new LLM technologies and frameworks
- Fine-tune prompt strategies for accuracy and efficiency
- Define AI evaluation metrics and monitoring systems
What they’re looking for
- Proficiency in Python or other programming languages
- Hands-on experience with agentic development patterns
- Experience with LLMs (Anthropic/OpenAI/Gemini APIs)
- Knowledge of cloud infrastructure (Google Cloud or AWS)
What you get
- Gross salary: 3400-5600 EUR/month
- Private health insurance and psychotherapy
- Internal learning options and mentorship
- Bonus vacation days and paid life-moment days off
Skills & Focus Areas
- Python
- LLMs
- RAG
- Anthropic Claude
- Google Gemini
- OpenAI GPT
- Agentic development
- Cloud infrastructure
- DataOps
- Git
- Terraform
- Docker
As posted by Oxylabs
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:
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!