AI-Driven Full-Stack Engineer for Greenfield Platform

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

Benefits offered by this job

Salary range

Annual bonus

Job summary

Harnham is seeking a Software Engineer to join its AI and predictive analytics team across multiple US cities, with 4 days in the office. You will build a greenfield investment platform, using Python, React, and ML to influence high-stakes business decisions.

You will work closely with stakeholders from Product, Design, Data Science, and business units, delivering scalable services and shaping the architecture of a growing engineering function.

Qualifications

• Strong commercial experience in full-stack software engineering.
• Expertise in Python with scalable backend systems and APIs.
• Experience building production-ready software in startup/fintech environments.
• Exposure to AI, ML, LLMs or predictive analytics.
• Experience delivering greenfield or 0-to-1 product development.
• Balance technical excellence with product thinking and business impact.
• Strong stakeholder management and communication skills.
• Experience with cloud platforms such as Azure or AWS.
• Exposure to ML frameworks such as TensorFlow or Scikit-learn.

Responsibilities

• Build and enhance a full-stack investment analytics platform.
• Develop scalable backend services with Python; frontend with React/TypeScript.
• Design and implement AI-enabled workflows and integrations.
• Collaborate with Product, Design, Data Science, and business teams.
• Contribute to architectural decisions and best practices.
• Surface ML insights through intuitive user experiences.
• Improve development processes, tests, and deployment pipelines.

Skills

Full-stack development

Python

React/TypeScript

AI/ML

LLM / predictive analytics

Greenfield product

Cloud (Azure/AWS)

Stakeholder management

TensorFlow/Scikit-learn

Tools

Azure

AWS

TensorFlow

Scikit-learn

Job description

Harnham is seeking a Software Engineer to join its AI and predictive analytics team across multiple US cities, with 4 days in the office. You will build a greenfield investment platform, using Python, React, and ML to influence high-stakes business decisions.

You will work closely with stakeholders from Product, Design, Data Science, and business units, delivering scalable services and shaping the architecture of a growing engineering function.