Full-Stack AI Engineer/Workflow Automation Lead (Remote)

Location: Remote
Type: Contract or Full-Time
Company: GreenLight.ai

About 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 development languages

API integrations, webhooks, workflow orchestration, and internal tooling

RAG, vector databases, embeddings, or knowledge retrieval systems

Cloud infrastructure, deployment, monitoring, and production reliability

Familiarity with tools such as LangChain, LangGraph, n8n, Retool, Zapier, or Make

Strong Plus
Background in AI-native companies, venture-backed startups, or high-growth technology businesses

Track record shipping AI-powered products, agents, internal tools, or workflow systems into production

Strong product instincts and ability to translate messy business problems into working software

Comfortable working directly with founders, product leaders, operations teams, and executives

Familiarity with workforce, HR, payroll, compliance, onboarding, support, or payments workflows

Entrepreneurial mindset with high ownership, speed, and bias toward practical outcomes

What Success Looks Like
Within the first 60-90 days, you will have:
Shipped production AI workflows used internally by the team

Built AI-powered tools that materially reduce manual work

Automated operational processes that currently require significant coordination

Delivered platform integrations that improve scalability and efficiency

Created internal AI assistants or workflow systems that improve responsiveness

Established a foundation for GreenLight's AI-powered operational infrastructure

Within 12 months, you will have:
Helped transform GreenLight into a significantly more AI-native business

Delivered measurable operational leverage across multiple departments

Built systems that improve client and worker experiences

Reduced operational overhead through intelligent automation

Influenced the long-term AI and product strategy of the company

How We Evaluate Candidates
We care far more about what you’ve built than formal credentials.
We look for engineers who:
Ship production software

Build practical systems

Move quickly

Make smart tradeoffs

Can turn ideas into working products rapidly

Think like builders and operators

Have a track record of turning ideas into working products

Please include:
GitHub profile

LinkedIn profile

Links to products, projects, or systems you've built

Examples of AI products, agents, workflows, or internal tools you've shipped

Brief explanation of your contributions

Tech Stack (Flexible)

OpenAI / Anthropic APIs

n8n / Zapier / Make / LangChain

Python / Node.js

APIs and systems integrations

Vector databases / retrieval systems

Cloud infrastructure and API integrations

We care more about engineering ability and execution than experience with any specific tool.

This Role Is Probably Not a Fit If You Prefer:
Large corporate environments

Heavy process and bureaucracy

Long planning cycles before shipping

Pure research environments

Narrowly scoped implementation work

Roles focused primarily on model training or ML research

Why This Role Is Interesting
High ownership and direct impact

Ability to shape core product direction

Direct access to leadership

Opportunity to build meaningful AI systems in a real operational environment

Small, fast-moving team with quick decision-making

Compensation
Compensation is flexible based on experience, structure, and level of ownership.
We care most about finding the right builder to help shape and execute this next phase of the company.