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Full-Stack AI Engineer/Workflow Automation Lead (Remote) at GreenLight Workforce Solutions Inc. Remote Location: 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.