Product Engineer | Design Engineering Knowledge

Role overview Build software that brings requirements, design rules, manufacturing and assembly constraints, and cost considerations into engineering design workflows. The initial focus is extracting requirements from specifications and requirements systems, structuring them, and preserving links to their sources; the work then extends to other engineering knowledge and enterprise data. You will help shape the product from early customer discovery through production delivery.

Responsibilities - Ingest specifications and request-for-quotation packages; use language-model and agent pipelines to extract requirements with document and page traceability. - Turn standards, handbooks, and company knowledge into usable design rules and constraints, including for manufacturing, assembly, and cost. - Make requirements and constraints available during design, with checks relevant to the part being developed. - Integrate with requirements, enterprise resource planning, and system design tools; model links among requirements, rules, parts, parameters, and simulation results. - Work with customers to create evaluation sets and metrics, and design review flows that let engineers validate and edit AI output with version history and audit trails. - Identify patterns across customer work and develop reusable product components.

Requirements - Experience building and shipping production Python software in cross-functional teams. - Practical experience with production LLM applications, including structured outputs, retrieval-augmented generation, agents, and evaluation. - Experience integrating enterprise systems through APIs and data models, such as ERP, PLM, or requirements tools. - Experience with document processing, such as PDF parsing, OCR, or information extraction. - Strong software practices, including testing, CI, packaging, code review, and git; clear communication and a user-focused approach to incremental delivery. - Based in Cambridge, UK, or willing to relocate.

Nice to have - Mechanical engineering or physics background, especially exposure to manufacturing, assembly, or design-to-cost practices. - Familiarity with requirements engineering, MBSE, or SysML; CAD data or geometry processing; vision-language models, vector databases, or search ranking.

Benefits and work setup - Hybrid work and flexible hours, with ownership of a product capability used by engineering teams.