AI-Powered Full-Stack Engineer for Predictive Analytics

Harnham

Atlanta (GA)

On-site

USD 190,000 - 225,000

Full time

9 days ago

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Job summary

Harnham is seeking a Software Engineer to join a high-impact AI and predictive analytics team. You will help build a greenfield investment analytics platform using Python, React, and modern tooling, influencing multi-billion-dollar decisions.

Collaborate with senior stakeholders and deploy production-ready features in a fast-paced, enterprise-backed environment. You will work across product, design, and data science teams to design, implement, and scale solutions, while advancing architectural

Qualifications

  • Strong experience delivering full-stack software in fast-paced environments.
  • Proficient in Python for backend APIs and scalable services.
  • Experience with React/TypeScript front-end development.
  • Familiarity with AI/ML workflows and predictive analytics is a plus.

Responsibilities

  • Build and enhance a greenfield investment analytics platform used by senior stakeholders.
  • Develop scalable backend services using Python and frontend UIs with React/TypeScript.
  • Design and implement AI-enabled workflows and integrations to improve decision making.
  • Collaborate with Product, Design, Data Science, and business teams to deliver solutions.
  • Contribute to architectural decisions and establish engineering best practices.
  • Surface ML insights through intuitive user experiences.
  • Improve development processes, tests, and deployment pipelines.
  • Take ownership from concept through production in a fast-paced setting.

Skills

Full-stack engineering
Python
React
TypeScript
Cloud platforms

Tools

Azure
AWS
TensorFlow
Scikit-learn

Job description

Harnham is seeking a Software Engineer to join a high-impact AI and predictive analytics team. You will help build a greenfield investment analytics platform using Python, React, and modern tooling, influencing multi-billion-dollar decisions.

Collaborate with senior stakeholders and deploy production-ready features in a fast-paced, enterprise-backed environment. You will work across product, design, and data science teams to design, implement, and scale solutions, while advancing architectural

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