About
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 RoleThis is a hands-on engineering role focused on building and deploying AI-powered workflows and automation systems directly into GreenLight’s platform and operational infrastructure.You will work closely with leadership, product, and operations to design and ship practical AI systems that:Reduce manual operational workImprove internal workflows and decision-makingEnhance client and worker experiencesSupport scalable global operationsWe value speed, pragmatism, and people who can ship without perfect specs.Small team, fast decisions, minimal bureaucracy.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 ForRequired ExperienceExperience building workflow automation and AI-assisted operational systems in productionStrong understanding of:OpenAI / Anthropic APIsWorkflow orchestration and automationSystems integrations and API connectivityRetrieval-augmented generation (RAG)Internal tooling and operational systemsExperience with tools such as:n8n, LangChain, Zapier, Make or, similar orchestration and automation platformsStrong technical problem-solving skills and ability to ship quicklyAbility to work independently in a fast-moving environmentStrong PlusExperience building:AI assistantsAgentic workflowsOperational automation systemsB2B SaaS productsExperience in startup or fast-moving environmentsStrong product and operational instincts and ability to operate with limited structureWhat Success Looks LikeWithin the first 60–90 days, you will have:Shipped production AI workflows used internally by the teamAutomated operational processes that currently require manual coordinationBuilt AI tooling that materially improves scalability and responsivenessIntegrated systems and workflows across operations, customer success, and financeHelped shape the foundation of GreenLight’s AI strategy and product directionHow We Evaluate CandidatesWe care far more about what you’ve built than formal credentials.We look for people who:Build practical systemsMove quicklyMake smart tradeoffsCan turn ideas into working products rapidlyThink like builders and operatorsPlease include:Links to projects, automations, products, or demosShort explanations of your contributionsExamples of workflow automation or AI-assisted operational systems you’ve builtTech Stack (Flexible)OpenAI / Anthropic APIsn8n / Zapier / Make / LangChainPython / Node.jsAPIs and systems integrationsVector databases / retrieval systemsCloud infrastructure and API integrationsThis Role Is Probably Not a Fit If You Prefer:Heavy process and large teamsPure research environmentsLong planning cycles before shippingNarrowly 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.
