Location: RemoteType: Contract or Full-TimeCompany: GreenLight.aiGreenLight 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 RoleWe 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 NowGreenLight 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 automationonboarding and operational toolingsupport systemsinternal knowledge and retrieval systemsoperational decision workflowsclient and worker experiencesThis role will have direct influence over that direction from the beginning.What You’ll Work OnExamples of projects include:AI-powered workflow automationIntelligent onboarding and support systemsInternal AI assistants for operations and compliance teamsAI-driven client and worker support experiencesKnowledge retrieval and operational toolingAgentic workflows and multi-step reasoning systemsAI integrations across platform operations and customer workflowsWhat We’re Looking ForWe are looking for a hands-on software engineer who can build and ship AI-powered tools, workflow systems, and product integrations in production.Required5+ years of software engineering experience, ideally full-stack or backendExperience shipping production software used by real customers or internal teamsExperience building AI-powered products, internal tools, agents, copilots, or workflow systemsStrong working knowledge of OpenAI and/or Anthropic APIsStrong experience with APIs, system integrations, and backend workflowsAbility to work independently, move quickly, and make pragmatic technical tradeoffsTechnical SkillsPython, Node.js, TypeScript, or similar modern development languagesAPI integrations, webhooks, workflow orchestration, and internal toolingRAG, vector databases, embeddings, or knowledge retrieval systemsCloud infrastructure, deployment, monitoring, and production reliabilityFamiliarity with tools such as LangChain, LangGraph, n8n, Retool, Zapier, or MakeStrong PlusBackground in AI-native companies, venture-backed startups, or high-growth technology businessesTrack record shipping AI-powered products, agents, internal tools, or workflow systems into productionStrong product instincts and ability to translate messy business problems into working softwareComfortable working directly with founders, product leaders, operations teams, and executivesFamiliarity with workforce, HR, payroll, compliance, onboarding, support, or payments workflowsEntrepreneurial mindset with high ownership, speed, and bias toward practical outcomesWhat Success Looks LikeWithin the first 60-90 days, you will have:Shipped production AI workflows used internally by the teamBuilt AI-powered tools that materially reduce manual workAutomated operational processes that currently require significant coordinationDelivered platform integrations that improve scalability and efficiencyCreated internal AI assistants or workflow systems that improve responsivenessEstablished a foundation for GreenLight's AI-powered operational infrastructureWithin 12 months, you will have:Helped transform GreenLight into a significantly more AI-native businessDelivered measurable operational leverage across multiple departmentsBuilt systems that improve client and worker experiencesReduced operational overhead through intelligent automationInfluenced the long-term AI and product strategy of the companyHow We Evaluate CandidatesWe care far more about what you’ve built than formal credentials.We look for engineers who:Ship production softwareBuild practical systemsMove quicklyMake smart tradeoffsCan turn ideas into working products rapidlyThink like builders and operatorsHave a track record of turning ideas into working productsPlease include:GitHub profileLinkedIn profileLinks to products, projects, or systems you've builtExamples of AI products, agents, workflows, or internal tools you've shippedBrief explanation of your contributionsTech Stack (Flexible)OpenAI / Anthropic APIsn8n / Zapier / Make / LangChainPython / Node.jsAPIs and systems integrationsVector databases / retrieval systemsCloud infrastructure and API integrationsWe 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 environmentsHeavy process and bureaucracyLong planning cycles before shippingPure research environmentsNarrowly scoped implementation workRoles focused primarily on model training or ML researchWhy This Role Is InterestingHigh ownership and direct impactAbility to shape core product directionDirect access to leadershipOpportunity to build meaningful AI systems in a real operational environmentSmall, fast-moving team with quick decision-makingCompensationCompensation 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.
