Description
AI Engineer / AI Automation Specialist – LLMs, AI Agents & Workflow Automation | RemotePosition Type: Full-Time, Remote Working Hours: U.S. Business HoursAbout the RoleAt Pavago, one of our clients is hiring an AI Engineer / AI Automation Specialist to build AI-powered applications, intelligent agents, integrations, and business automations.This is a hands-on technical role for someone who can take an AI or automation use case from idea to working implementation. You’ll combine software development, LLMs, APIs, automation platforms, and agentic workflows to build systems that reduce manual work and improve business efficiency.You’ll work across generative AI, AI agents, API integrations, workflow automation, prompt engineering, and internal tooling, while continuously evaluating emerging AI technologies.What You’ll OwnAI Applications & Agent DevelopmentDesign and build AI-powered applications and workflowsDevelop AI agents that can execute structured tasks and business processesBuild agentic workflows using LLMs, tools, APIs, and business logicTurn manual processes into scalable AI-assisted systemsImprove existing AI applications as business requirements evolveLLM & Generative AI IntegrationIntegrate LLMs with internal systems and third-party platformsBuild structured workflows around generative AI modelsDevelop and refine prompts, tools, and reusable AI componentsImplement reliable structured outputs and workflow logicEvaluate AI responses for quality, consistency, and reliabilityAutomation & Business WorkflowsBuild automated workflows that reduce repetitive manual workConnect applications and business systems using APIs and automation platformsDevelop workflows using tools such as Make, Zapier, n8n, or similar platformsTroubleshoot failed or unreliable automationsContinuously improve workflow efficiency and scalabilityAPIs & IntegrationsBuild and maintain API integrations between AI systems and external platformsWork with webhooks and third-party servicesManage data flows between applications and automation workflowsTroubleshoot integration issues and improve system reliabilityDevelopment & Internal ToolsBuild internal tools that improve team productivity and operational efficiencyDevelop technical solutions using Python and/or JavaScript/TypeScriptWrite clean, maintainable code for AI and automation systemsUse modern AI coding tools to accelerate development and debuggingSupport deployment and ongoing maintenance of AI-powered solutionsAI Quality, Testing & ReliabilityEvaluate AI output quality and reliabilityTest prompts, workflows, agents, and integrationsIdentify edge cases and failure pointsImprove AI systems based on real-world performanceBuild appropriate safeguards and validation into automated workflowsResearch & ExperimentationResearch and test emerging AI technologiesEvaluate new LLMs, agent frameworks, AI coding tools, and automation platformsIdentify practical opportunities to apply new technologiesRecommend improvements based on testing and business impactDocumentation & Process DevelopmentDocument AI systems, workflows, integrations, and processesCreate clear technical documentation for ongoing maintenanceMaintain organized records of automation logic and system dependenciesBuild repeatable processes that allow successful solutions to scaleRequirementsProfessional experience in software development, automation, AI, or a related technical roleHands-on experience working with LLMs and generative AIExperience building AI-powered applications, workflows, or automationsExperience integrating APIs and third-party platformsProgramming experience, preferably with Python and/or JavaScript/TypeScriptFamiliarity with AI coding tools and agentic development workflowsUnderstanding of prompt development and structured AI workflowsStrong troubleshooting and problem-solving skillsAbility to independently take projects from concept through implementationStrong written and spoken EnglishComfortable working independently in a remote environmentNice to HaveExperience with Make, Zapier, n8n, or similar automation platformsExperience building AI agents or multi-step agentic workflowsFamiliarity with webhooks and event-driven integrationsExperience developing internal business toolsExperience working with structured LLM outputs and tool/function callingFamiliarity with cloud deployment and modern development workflowsExperience evaluating and monitoring AI system performanceTools & TechnologiesLLMs & Generative AI | Python | JavaScript/TypeScript | APIs | Webhooks | Make | Zapier | n8n | AI Coding Tools | Agentic Workflows | Automation PlatformsWhat Makes You a Strong FitYou’ll likely thrive in this role if you:Build with AI rather than simply use AI for basic productivityEnjoy turning manual workflows into automated systemsCan move from an idea to a functional technical solution independentlyUnderstand both software development and business automationExperiment with new AI tools and technologies regularlyThink critically about AI reliability rather than assuming outputs are correctAre comfortable troubleshooting across APIs, code, and automation platformsPrioritize practical business impact over experimentation for its own sakeWhat a Typical Day Looks LikeYour day may include building an AI agent, connecting an LLM to a business platform through an API, developing an automation in n8n or Make, troubleshooting an existing workflow, or creating an internal tool that eliminates repetitive work.You may also test prompts and agent behavior, evaluate AI output quality, document systems, and research emerging AI technologies that could improve existing workflows.In short: you turn AI capabilities into practical, reliable systems that automate work and improve business operations.Key Metrics for SuccessAI workflows successfully deployed into real business processesReduction in repetitive manual workReliability and accuracy of AI-powered systemsSuccessful API and third-party integrationsSpeed from idea to working implementationAutomation uptime and workflow reliabilityQuality and maintainability of technical documentationMeasurable operational efficiency created through AIInterview ProcessInitial ApplicationSpark Hire One-Way Video InterviewVideo Interview with Pavago RecruiterTechnical / AI Automation InterviewClient InterviewOffer & OnboardingSpark Hire Video Interview – RequiredAs part of the application process, all candidates are required to complete a one-way video interview through Spark Hire.After completing the first step of your application, you’ll receive a Spark Hire invitation by email with instructions to record and submit your video responses.Completion of the Spark Hire video is required to be considered for the next stage. Please check your inbox as well as your spam or junk folder for the invitation.Apply NowIf you have hands-on experience with LLMs, AI agents, workflow automation, APIs, and software development and enjoy turning business problems into working AI-powered systems, we’d love to hear from you.Apply today and help build practical AI systems that automate work and improve how businesses operate.#AIEngineer #AIAutomation #AutomationSpecialist #GenerativeAI #LLM #AIAgents #Python #JavaScript #n8n #Zapier #Make #WorkflowAutomation #RemoteJobs#LI-AG1