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

GreenLight Workforce Solutions Inc

1d•Onsite

About The Position

GreenLight.ai 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. 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.

Requirements

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
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
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

Nice To Haves

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

Responsibilities

Designing, building, and deploying AI-powered workflows, internal tools, assistants, and platform capabilities that improve scalability across GreenLight's operations and products.
Working directly with leadership, product, operations, and engineering teams to identify opportunities, build solutions quickly, and deploy systems that create meaningful operational leverage.
Building AI-powered workflow automation.
Developing intelligent onboarding and support systems.
Creating internal AI assistants for operations and compliance teams.
Designing AI-driven client and worker support experiences.
Implementing knowledge retrieval and operational tooling.
Developing agentic workflows and multi-step reasoning systems.
Integrating AI across platform operations and customer workflows.
Shipping production AI workflows used internally by the team.
Building AI-powered tools that materially reduce manual work.
Automating operational processes that currently require significant coordination.
Delivering platform integrations that improve scalability and efficiency.
Creating internal AI assistants or workflow systems that improve responsiveness.
Establishing a foundation for GreenLight's AI-powered operational infrastructure.
Transforming GreenLight into a significantly more AI-native business.
Delivering measurable operational leverage across multiple departments.
Building systems that improve client and worker experiences.
Reducing operational overhead through intelligent automation.
Influencing the long-term AI and product strategy of the company.