Software Engineer - 198763

Harnham; New York (NY); Hybrid; USD 225,000 - 300,000; Full time

Benefits offered by this job

20% annual bonus

Hybrid work (3 days onsite)

Ownership & autonomy

AI & analytics projects

Job summary

Harnham in New York (preferred) leads a small AI and Innovation team building a predictive analytics platform for major investment and real estate decisions. You will own core platform capabilities and guide architectural direction, shaping AI-powered products at scale.

You’ll develop full‑stack apps with Python, React, and TypeScript, surface ML insights through intuitive interfaces, and work with Product Managers, Data Scientists, and stakeholders to translate business problems into scalable

Qualifications

• Proven experience building scalable full-stack software products.
• Strong Python development and API design abilities.
• Experience in product-focused or 0-to-1 environments; exposure to AI/ML is a plus.

Responsibilities

• Build and own core platform capabilities including APIs and shared services.
• Develop full-stack applications using Python, React, and TypeScript.
• Surface ML insights through intuitive user interfaces and dashboards.
• Integrate AI workflows into production environments.
• Collaborate with Product Managers, Data Scientists, Applied AI Engineers, and stakeholders to translate business problems into scalable software solutions.
• Contribute to code quality, deployment pipelines, testing practices, and engineering standards.

Skills

Full stack product development

Python development

API design

AI/ML exposure

Stakeholder communication

Tools

React

TypeScript

Job description

New York (preferred) | Chicago, Dallas, Atlanta or Fort Washington | $225,000 base + 20% bonus

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.

The Role

• 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.

Your Skills & Experience

• Strong commercial experience building full stack software products.
• Excellent Python development skills and experience designing scalable APIs.
• 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.

What They Offer

• 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.