AI Operations Engineer / Workflow Automation Lead

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

This is a hands-on engineering role focused on building and deploying AI-powered workflows and automation systems directly into GreenLight’s platform and operational infrastructure.

You will work closely with leadership, product, and operations to design and ship practical AI systems that:

• Reduce manual operational work

• Improve internal workflows and decision-making

• Enhance client and worker experiences

• Support scalable global operations

We value speed, pragmatism, and people who can ship without perfect specs.

Small team, fast decisions, minimal bureaucracy.

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.

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

Required Experience

• Experience building workflow automation and AI-assisted operational systems in production

• Strong understanding of:

  • OpenAI / Anthropic APIs

  • Workflow orchestration and automation

  • Systems integrations and API connectivity

  • Retrieval-augmented generation (RAG)

  • Internal tooling and operational systems

• Experience with tools such as:

  • n8n, LangChain, Zapier, Make or, similar orchestration and automation platforms

• Strong technical problem-solving skills and ability to ship quickly

• Ability to work independently in a fast-moving environment

Strong Plus

• Experience building:

  • AI assistants

  • Agentic workflows

  • Operational automation systems

  • B2B SaaS products

• Experience in startup or fast-moving environments

• Strong product and operational instincts and ability to operate with limited structure
  
  

What Success Looks Like

Within the first 60–90 days, you will have:

• Shipped production AI workflows used internally by the team

• Automated operational processes that currently require manual coordination

• Built AI tooling that materially improves scalability and responsiveness

• Integrated systems and workflows across operations, customer success, and finance

• Helped shape the foundation of GreenLight’s AI strategy and product direction
  

How We Evaluate Candidates

We care far more about what you’ve built than formal credentials.

We look for people who:

• Build practical systems

• Move quickly

• Make smart tradeoffs

• Can turn ideas into working products rapidly

• Think like builders and operators

Please include:

• Links to projects, automations, products, or demos

• Short explanations of your contributions

• Examples of workflow automation or AI-assisted operational systems you’ve built
  

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
  

This Role Is Probably Not a Fit If You Prefer:

• Heavy process and large teams

• Pure research environments

• Long planning cycles before shipping

• 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.