Oxylabs
Technology
Data&AIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data & AI Engineer at Oxylabs. Skills: AI Engineering, LLM Development, DataOps. Build AI applications using Python. Conduct research with new LLM technologies”
Industry & Context.
Analytical thinking
What They're Looking For.
Must Have
Proficiency in at least one programming language, Hands-on experience with agentic development patterns, Experience with LLMs APIs, Knowledge of best DataOps practices, Excellent communication in Lithuanian and English
Nice to Have
Familiarity with agent frameworks, Proficiency in deploying open-source AI models, Background in Machine Learning beyond LLMs
What You'll Do.
Build AI applications using Python
Conduct research with new LLM technologies
Share findings with team
Collaborate with cross-functional teams
Identify AI-driven opportunities
Integrate solutions into business processes
Fine-tune prompt strategies
Optimize prompt strategies
Define AI evaluation metrics
Define benchmarking frameworks
Implement monitoring systems
Track LLM performance
Promote AI understanding
How You'll Work.
Team & Collaboration
Cross-functional teams
Communication Scope
Written communication; Spoken communication
Full Job Description
## 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 spoke
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