Data & AI Engineer

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.

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).