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 GreenLightâs 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 6â12 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 Youâll 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 Weâre 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 60â90 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 GreenLightâs AI strategy and product direction
How We Evaluate Candidates
We care far more about what youâve 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 youâve 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.
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