Full-Stack AI Engineer/Workflow Automation Lead (Remote)
Greenlight Workforce Solutions
| Company | Greenlight Workforce Solutions |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 1 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
Location: Remote
Type: Contract or Full-Time
Company: GreenLight.ai http://GreenLight.ai
ABOUT GREENLIGHT.AI http://GreenLight.ai
GreenLight operates at the intersection of global workforce infrastructure, compliance, operations, and AI.
We provide workforce solutions for businesses and talent marketplaces, including EOR, AOR, freelancer management, onboarding, payments, and compliance operations across multiple countries. Our clients include some of the most innovative tech companies in the world and we are growing rapidly.
We are building AI-native systems to automate complex operational workflows, improve decision-making, and scale global workforce operations without scaling headcount.
This role is for someone who wants to build practical AI systems that solve messy real-world problems - not research prototypes.
THE ROLE
We are looking for a hands-on Full-Stack AI Engineer who has experience building and shipping AI-powered products, tools, and operational systems in production environments.
This is fundamentally a software engineering role focused on designing, building, and deploying AI-powered workflows, internal tools, assistants, and platform capabilities that improve scalability across GreenLight's operations and products.
You will work directly with leadership, product, operations, and engineering teams to identify opportunities, build solutions quickly, and deploy systems that create meaningful operational leverage.
We value builders who can move from idea to production with minimal oversight and who thrive in fast-moving startup environments.
WHY THIS ROLE MATTERS RIGHT NOW
GreenLight is actively evolving into a more AI-native platform and operational model.
Over the next 6–12 months, AI will become deeply integrated into:
- workflow automation
- onboarding and operational tooling
- support systems
- internal knowledge and retrieval systems
- operational decision workflows
- client and worker experiences
This role will have direct influence over that direction from the beginning.
We are looking for a hands-on Full-Stack AI Engineer who has experience building and shipping AI-powered products, tools, and operational systems in production environments.
This is fundamentally a software engineering role focused on designing, building, and deploying AI-powered workflows, internal tools, assistants, and platform capabilities that improve scalability across GreenLight's operations and products.
You will work directly with leadership, product, operations, and engineering teams to identify opportunities, build solutions quickly, and deploy systems that create meaningful operational leverage.
We value builders who can move from idea to production with minimal oversight and who thrive in fast-moving startup environments.
WHAT YOU’LL WORK ON
Examples of projects include:
- AI-powered workflow automation
- Intelligent onboarding and support systems
- Internal AI assistants for operations and compliance teams
- AI-driven client and worker support experiences
- Knowledge retrieval and operational tooling
- Agentic workflows and multi-step reasoning systems
- AI integrations across platform operations and customer workflows
WHAT WE’RE LOOKING FOR
We are looking for a hands-on software engineer who can build and ship AI-powered tools, workflow systems, and product integrations in production.
REQUIRED
- 5+ years of software engineering experience, ideally full-stack or backend
- Experience shipping production software used by real customers or internal teams
- Experience building AI-powered products, internal tools, agents, copilots, or workflow systems
- Strong working knowledge of OpenAI and/or Anthropic APIs
- Strong experience with APIs, system integrations, and backend workflows
- Ability to work independently, move quickly, and make pragmatic technical tradeoffs
TECHNICAL SKILLS
- Python, Node.js, TypeScript, or similar modern develop