Senior Full-Stack Engineer, AI Platforms – High Impact

Stout; Atlanta (GA); Sur place; USD 87 000 - 195 000; Plein temps

Avantages offerts par ce poste

Total Rewards

Flexible work schedule

Career development

Résumé du poste

Stout, a global advisory firm, acquired Flightline and is expanding its Applied Innovation Group. As a Senior Full-Stack Engineer, you will work on the LLM-backed core, end-to-end ownership, and collaborate with the Managing Director and product teams.

You will ship features across frontend and backend, build data pipelines, and contribute to AI tooling while ensuring quality and safe deployment.

Qualifications

• Five or more years of professional software engineering across the full stack, including production systems.
• Experience with React, TypeScript and Python or ability to pick up a new stack quickly.
• Strong written and spoken communication; ability to explain trade-offs to non-technical stakeholders.
• Experience owning an area of a system and delivering production-ready improvements.
• Daily use of AI coding tools, writing clear specs and acceptance criteria for agents.

Responsabilités

• Ship features from refined requirements to production across frontend and backend.
• Take ownership of areas of the platform, such as a data pipeline or a service.
• Work on the LLM-backed core of the product, including extraction, retrieval, chat and content generation.
• Use AI coding agents as a core part of the development workflow, review agent output closely.

Connaissances

Full-stack engineering

Problem solving

Team collaboration

Communication

AI tooling experience

Experience with unfamiliar codebase

Fast learner

Outils

React

TypeScript

Python

Description du poste

Stout, a global advisory firm, acquired Flightline and is expanding its Applied Innovation Group. As a Senior Full-Stack Engineer, you will work on the LLM-backed core, end-to-end ownership, and collaborate with the Managing Director and product teams.

You will ship features across frontend and backend, build data pipelines, and contribute to AI tooling while ensuring quality and safe deployment.