Software Engineer - AI/ML - Information Extraction
Listed on 2026-03-04
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Software Engineer, Data Scientist
Location: Greater London
We are looking for a Staff Software Engineer - AI/ML, with experience in Information Extraction, to join our talented, dynamic, and rapidly growing global team. This position is UK remote, or London-based. For London employees we have an in-office requirement of 2 days per week, and periodic office visits are expected for remote staff.
Company DescriptionOpen Asset is the leading marketing platform for the Architecture, Construction, and Engineering industries, trusted by 1,000+ clients over 20 years. Our mission is to be the most innovative partner to AEC firms, delivering solutions that help win more projects.
Last year we launched Shred.ai - world-leading AI product for AEC marketers to help them speed-up manual and repetitive tasks of analysing (‘shredding’) RFPs and drafting high-quality compliant proposals grounded in the rich organisational knowledge of their firms.
We’re a diverse, collaborative, and fast-growing team of 100+ employees with offices in New York and London and a global client base. Backed by Marlin Equity Partners, we’re passionate about creating an inclusive workplace where everyone feels valued and has a voice, and we actively hire from a diverse pool of candidates.
DescriptionEmbark on an exciting journey as a Staff Software Engineer - AI/ML at Open Asset, where you’ll play a pivotal role in shaping the future of AI/ML within our organization, and AI-enabled products we’re building to support the AEC industry. In this hands‑on technical role, you’ll not only drive the development of innovative machine learning models and AI‑driven solutions, leveraging frontier LLM models, agentic coding orchestration tools such as Claude Code, platforms including AWS, Amazon Bedrock, and Google GCP Vertex AI, but also strengthen the AI/ML competency at Open Asset.
You’ll help establish the team’s strategic vision, processes, and best practices. You’ll design and implement scalable, efficient, and maintainable AI/ML systems while setting the standard for excellence in model deployment, data pipeline optimization, and information extraction. Beyond writing exceptional code, your leadership will be key in building a high‑performing team, mentoring engineers, and tackling complex technical challenges.
If you’re passionate about AI and how to build AI‑based products for customers, building products from the ground up, and delivering impactful solutions, we invite you to take on this foundational role. Join us to make a lasting impact on our products, our people, and the future of AI/ML at Open Asset.
ResponsibilitiesAs a Staff Software Engineer - AI/ML, Information Extraction, your day‑to‑day activities will center on technical leadership, effective communication, and a hands‑on approach to delivering innovative AI/ML solutions. You’ll play a key role in shaping the success of the AI/ML team and driving impactful outcomes for the company.
Project Ownership- Lead the design, planning, estimation, and coordination of AI/ML initiatives across multiple releases, including information extraction, model development, data pipelines, and deployment.
- Take ownership of the entire lifecycle of AI/ML systems, from experimentation to production, ensuring timely and high‑quality delivery.
- Partner with Product and Engineering teams to integrate AI/ML capabilities into company‑wide projects, addressing cross‑functional challenges.
- Collaborate with Product, Engineering, Dev Ops, and other teams to ensure seamless data flow, model deployment, and system integration.
- Provide strategic technical guidance on AI/ML frameworks, tools, and best practices that align with the company’s goals.
- Research and propose advanced machine learning techniques and cloud‑native AI services, including LLMs, agentic workflows, and Amazon Bedrock, to enhance our capabilities.
- Foster a collaborative environment by communicating effectively across technical and non‑technical teams.
- Mentor and guide team members through agentic coding practices, code reviews, technical coaching, and knowledge sharing, building a culture of continuous learning.
- Proact…
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