Software Engineer, AI Engineer (Applied​/Software), Machine Learning​/ ML Engineer

Chicago hybrid | $190,000 to $225,000 base + 20% bonus

This is an opportunity to join a highly visible innovation team building AI-enabled software that supports major commercial decisions 'll work at the intersection of software engineering, machine learning, product development, and analytics, helping create technology that directly influences investment and operational strategies across a large enterprise.

They are a well-established organisation operating within a large-scale, asset-backed industry, with a significant focus on data, analytics, and technology transformation. Their innovation team is bringing modern AI and predictive analytics capabilities into a traditionally underserved sector, creating products that deliver measurable business impact.

With strong executive sponsorship and engagement from senior stakeholders, the team is building next-generation tools that combine advanced analytics, machine learning, and intuitive product experiences. This is an environment where engineers can shape both the technology and the product roadmap.

You will join a growing product and engineering function responsible for developing a production-grade analytics platform used by investment and business stakeholders.

Responsibilities include:

• Building and scaling full-stack applications that combine advanced analytics, AI capabilities, and intuitive user experiences
• Designing and maintaining application infrastructure, APIs, and shared services
• Working closely with product, design, analytics, and business stakeholders to define and deliver solutions
• Developing software that brings machine learning and predictive analytics insights into day-to-day decision making
• Contributing to architectural decisions and helping establish engineering best practices
• Building AI-enabled workflows and tools that support repeatable, high-quality analytical processes
• Improving development, deployment, testing, and operational processes
• Supporting a collaborative, high-performing engineering culture through code reviews and knowledge sharing

• Strong commercial experience in full-stack software engineering
• Commercial experience with React, Type Script, Node.js, or comparable modern web technologies
• Experience building and deploying production-ready applications
• Understanding of machine learning, predictive analytics, or data science workflows
• Experience developing AI-enabled products, LLM-powered features, or intelligent automation solutions
• Strong API design and backend engineering capabilities
• Familiarity with cloud platforms such as Microsoft Azure or AWS
• Product-focused mindset with the ability to work through ambiguity and influence technical direction
• Excellent stakeholder management and communication skills
• Experience working with analytics, financial, real estate, or other data-intensive environments is advantageous

• Opportunity to work on a flagship AI and predictive analytics platform
• Exposure to senior business and executive stakeholders
• High-impact work with significant commercial visibility
• Strong career progression within a growing innovation function
• Collaborative environment combining product, data science, and engineering expertise