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# Software Engineer

- **Company:** Harnham Inc.
- **Location:** New York, NY, United States
- **Salary:** $190,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Code Review, Python (Programming Language), Machine Learning, Node.Js, Software Architecture, AI-enabled Products, Software Engineering, TypeScript, ReactJS, Large Language Models, Data Management, Api Design, Data Pipelines
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/2_163952527

## About the Role

* Strong commercial experience in full-stack software engineering
 * Excellent Python development skills
 * Commercial experience with React, TypeScript, Node. xrbllit 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

## Description

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