Senior Full Stack Engineer

Senior Full Stack Software Engineer (AI and Analytics Platform)
New York - 4 Days Per Week in Office
Up to $225,000 + 20% Bonus

This is an opportunity to join a small, high-impact innovation team building a production-grade analytics product from scratch. You will work directly with senior stakeholders, shaping both the technical direction and the product itself, with real ownership from day one.

The Company
They are a large, asset-backed organisation investing heavily in innovation and technology to transform how data is used across investment and asset management functions. Within this, they have built a startup-style team focused on developing predictive analytics tools that directly influence buying, selling, and operational decisions. The team is intentionally lean, fast-moving, and highly product-driven.

The Role
You will operate as a full stack engineer within a small, cross-functional team, working closely with product and leadership to build and scale a new analytics platform.

• Build and deploy full stack applications that surface predictive analytics and ML insights
• Work directly with stakeholders to translate business requirements into production-ready features
• Develop backend services using Python and Node.js, alongside modern frontend frameworks such as React
• Contribute to AI and ML-driven functionality, including LLM-powered workflows
• Make architectural decisions and shape the platform as it scales
• Deliver high-quality, production-ready code in a fast-moving environment
• Collaborate closely with product and design in a highly iterative, feedback-driven process

Your Skills & Experience

• Strong commercial experience as a full stack engineer in product-focused environments
• Proficiency in Python for backend development; Node.js is beneficial
• Experience with React or similar modern frontend frameworks such as Angular or Vue
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Experience building and deploying production-grade applications end to end
• Understanding of ML or AI concepts and how they integrate into applications
• Strong product mindset and ability to work closely with non-technical stakeholders
• Comfortable operating in small, ambiguous, high-ownership environments

What They Offer

• Opportunity to join a startup-style team within a well-funded organisation
• High level of ownership and influence over product and technical direction
• Exposure to AI, ML, and predictive analytics use cases in a commercial setting
• Collaborative, fast-paced environment with direct access to senior stakeholders
• Clear scope for progression as the team grows