Software Engineer 198763

Harnham; Dallas (TX); Hybrid; USD 190,000 - 225,000; Full time

Job summary

Harnham in Dallas is seeking a talented full-stack engineer to join a hybrid team focused on building an AI-enabled analytics platform. You will work at the intersection of software engineering, ML, product development, and analytics to support major commercial decisions.

You will design, build, and deploy production-grade applications, APIs, and services, collaborating with product and analytics stakeholders to translate complex data insights into concrete features that drive value.

Qualifications

• Proven experience delivering production-grade web applications.
• Experience with AI-enabled features or ML workflows is a plus.
• Strong API design and backend engineering capabilities.
• Experience with cloud platforms (Azure or AWS).

Responsibilities

• Build and scale full-stack applications combining analytics, AI, and UX.
• Design and maintain application infrastructure, APIs, and shared services.
• Collaborate with product, design, analytics, and business stakeholders to deliver solutions.
• Develop software that brings ML and analytics insights into day-to-day decision making.
• Contribute to architectural decisions and engineering best practices.
• Build AI-enabled workflows and tools for repeatable analytical processes.
• Improve development, deployment, testing, and operational processes.
• Support a collaborative, high-performing engineering culture through code reviews.

Skills

Full-stack engineering

React/TypeScript/Node.js

Production-ready apps

ML/data science workflows

API design

Cloud platforms (Azure/AWS)

Stakeholder management

Communication

Tools

React

TypeScript

Node.js

Azure

AWS

Job description

Dallas 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 at scale. You'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.

The Company

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.

The Role

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

Your Skills & Experience

• Strong commercial experience in full-stack software engineering
• Commercial experience with React, TypeScript, 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

What They Offer

• 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