Machine Learning Engineer
SweedFull Time
Mid-level (3 to 4 years)
Candidates should possess at least 4 years of experience in software engineering or data science/engineering, demonstrating a deep understanding of LLM best practices including evaluations, Retrieval-Augmented Generation (RAG), fine-tuning, and observability. Proficiency with AI frameworks such as LangChain or LlamaIndex is required, along with experience releasing and maintaining production systems. Strong skills in SQL and relational databases are essential, and comfort with handling ambiguity and working independently is desired.
The AI Engineer will build game-changing products by addressing unstructured data challenges within the insurance industry, specifically focusing on developing Copilot agents to augment workflows, systems for extracting structured data from documents, and leveraging browser agents to automate repetitive tasks for users. They will also contribute to ongoing projects and research, supporting the company’s vision of deploying AI into core insurance operations and driving 7-figure ROI.