Full-Stack AI Engineer for Predictive Analytics Platform

Harnham; Mundelein (IL); Hybrid; USD 203,000 - 248,000; Full time

Benefits offered by this job

High ownership

Autonomy

Hybrid work model

Exposure to senior stakeholders

Job summary

Harnham is seeking a Full Stack Software Engineer to join a high-performing AI and Innovation team in New York (preferred) or other major US cities. You will own core platform components, build scalable APIs, and surface predictive analytics in user-friendly interfaces.

You'll develop with Python, React, and TypeScript, guide architectural decisions, and collaborate with Product Managers and Data Scientists to deliver AI-powered products at scale.

Qualifications

• Strong commercial experience building full stack software products.
• Excellent Python development skills and scalable API design.
• Front-end expertise with React and TypeScript.
• Exposure to AI, ML, or LLM-enabled applications.

Responsibilities

• Build and own core platform capabilities including infrastructure and APIs.
• Develop full stack applications using Python, React, and TypeScript.
• Surface AI insights through intuitive user interfaces.
• Integrate AI workflows into production environments.
• Make architectural decisions shaping future platform direction.
• Collaborate with Product Managers, Data Scientists, and stakeholders.
• Translate business problems into scalable software solutions.
• Contribute to code quality, deployments, testing, and standards.

Skills

Python development

React

TypeScript

APIs

AI/ML exposure

communication with stakeholders

product-focused environments

Tools

Frontend frameworks

Job description

Harnham is seeking a Full Stack Software Engineer to join a high-performing AI and Innovation team in New York (preferred) or other major US cities. You will own core platform components, build scalable APIs, and surface predictive analytics in user-friendly interfaces.

You'll develop with Python, React, and TypeScript, guide architectural decisions, and collaborate with Product Managers and Data Scientists to deliver AI-powered products at scale.