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Senior Full Stack Engineer

Harnham · New York, United States

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Senior Full Stack Software Engineer (AI and Analytics Platform)New York - 4 Days Per Week in OfficeUp to $225,000 + 20% BonusThis 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 CompanyThey 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 RoleYou 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 insightsWork directly with stakeholders to translate business requirements into production-ready featuresDevelop backend services using Python and Node.js, alongside modern frontend frameworks such as ReactContribute to AI and ML-driven functionality, including LLM-powered workflowsMake architectural decisions and shape the platform as it scalesDeliver high-quality, production-ready code in a fast-moving environmentCollaborate closely with product and design in a highly iterative, feedback-driven processYour Skills & ExperienceStrong commercial experience as a full stack engineer in product-focused environmentsProficiency in Python for backend development; Node.js is beneficialExperience with React or similar modern frontend frameworks such as Angular or VueExposure to cloud platforms such as Azure, AWS, or GCPExperience building and deploying production-grade applications end to endUnderstanding of ML or AI concepts and how they integrate into applicationsStrong product mindset and ability to work closely with non-technical stakeholdersComfortable operating in small, ambiguous, high-ownership environmentsWhat They OfferOpportunity to join a startup-style team within a well-funded organisationHigh level of ownership and influence over product and technical directionExposure to AI, ML, and predictive analytics use cases in a commercial settingCollaborative, fast-paced environment with direct access to senior stakeholdersClear scope for progression as the team grows