Software Engineer

• Build and own core platform capabilities, including application infrastructure, APIs, and shared services.
• Develop full stack applications using Python, React, and TypeScript.
• Surface machine learning and predictive analytics insights through intuitive user interfaces.
• Integrate AI and LLM-powered workflows into production environments.
• Make key architectural and technical decisions that will shape the future of the platform.
• Collaborate closely with Product Managers, Data Scientists, Applied AI Engineers, and business stakeholders.
• Translate ambiguous business problems into scalable software solutions.
• Contribute to code quality, deployment pipelines, testing practices, and engineering standards.

• Strong commercial experience building full stack software products.
• Excellent Python development skills and experience designing scalable APIs.
• Front-end expertise with React, JavaScript, or TypeScript.
• Experience working in product-focused or 0-to-1 environments.
• Exposure to AI, machine learning, predictive analytics, or LLM-enabled applications.
• Ability to balance speed, quality, and long-term architectural considerations.
• Strong communication skills and confidence partnering with both technical and non-technical stakeholders.
• Experience within technology, fintech, financial services, real estate technology, or other data-intensive environments is advantageous.

• $225,000 base salary.
• 20% annual bonus.
• Hybrid working model with 3 days per week onsite.
• High levels of ownership and autonomy.
• Opportunity to work on cutting-edge AI and predictive analytics products.
• Direct exposure to senior stakeholders and business-critical initiatives.
• Clear progression as the engineering and innovation function continues to grow. xrbllit

This is a rare opportunity to join a small, high-performing AI and Innovation team building a predictive analytics platform that supports major investment and real estate decisions. You’ll have significant ownership, influence technical direction, and help bring AI-powered products into production at scale.

The Company

They are a large-scale owner and operator of logistics and industrial real estate across the United States. With substantial assets under management and a nationwide footprint, they are investing heavily in technology, data, and AI to modernise decision-making across the business.

Their Innovation team operates like a start-up within a larger organisation, combining software engineering, data science, and applied AI expertise to develop products with measurable commercial impact.