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

Remote - Asia-Pacific *3w ago

Remote Staff APAC Payments Cloud Computing AI Engineer Software Engineer Team Leadership Full Stack Vector Node.js Python

Requirements

• 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 • We are looking for a hands-on software engineer who can build and ship AI-powered tools, workflow systems, and product integrations in production. • 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 • 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 • 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

Responsibilities

• 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 • 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

Benefits

• 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 • 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 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.