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

GreenLight.ai is a company that operates at the intersection of global workforce infrastructure, compliance, operations, and AI. They are seeking a Full-Stack AI Engineer to design, build, and deploy AI-powered workflows and tools that enhance operational efficiency and scalability across their operations and products.

Responsibilities:

• Design, build, and deploy AI-powered workflows, internal tools, assistants, and platform capabilities
• Identify opportunities, build solutions quickly, and deploy systems that create meaningful operational leverage
• Work directly with leadership, product, operations, and engineering teams
• Ship production AI workflows used internally by the team
• Build AI-powered tools that materially reduce manual work
• Automate operational processes that currently require significant coordination
• Deliver platform integrations that improve scalability and efficiency
• Create internal AI assistants or workflow systems that improve responsiveness
• Help transform GreenLight into a significantly more AI-native business
• Deliver measurable operational leverage across multiple departments
• Build systems that improve client and worker experiences
• Reduce operational overhead through intelligent automation
• Influence the long-term AI and product strategy of the company

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
• 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