Senior AI Automation & Application Engineer

Salary: $150,000 Location: Nashville / Hybrid Reports to: Head of AIAbout the RoleLongview is looking for a Senior Backend AI Automation & Application Engineer to design, build, harden, and scale the internal AI, automation, and application systems that power our restoration operating companies.This is a hands‑on senior engineering role for someone who can take business problems from ambiguity to production: designing the system, building the application or automation layer, integrating with third‑party platforms, owning the database and infrastructure touchpoints, and ensuring the final product is reliable enough to support real operators in the field.You will work directly with the Head of AI to build and operate Longview's internal technology platform, including AI agents, workflow automations, operational applications, dashboards, integrations, and data systems.This is not a research role. It is also not a narrow ticket‑taking role. We are looking for a senior builder who can move quickly, make strong technical decisions, and create practical AI‑enabled systems that improve how restoration companies operate every day.The ideal candidate is comfortable across the full stack of internal tools: Python, APIs, databases, automation platforms, AWS, LLM integrations, application development, monitoring, and operational support.About LongviewLongview is building the world's first AI‑powered restoration company. We acquire and operate restoration businesses across the United States and are rebuilding how these companies operate from the ground up using automation, data systems, and artificial intelligence. Restoration is a massive industry that still runs largely on spreadsheets, phone calls, disconnected software platforms, and manual workflows. At Longview, we are designing and deploying internal AI agents, automation systems, and operational software that allow our companies to run faster, more efficiently, and with better customer outcomes.Our internal platform includes systems for:AI call analysis and lead intakeAutomated collections and billing workflowsOperational dashboards and analyticsAI‑assisted job review and field workflow supportWorkflow automation across multiple operating companiesInternal applications for sales, operations, finance, and customer experienceThese systems are already running in production and actively supporting our operating teams. Longview is backed by experienced operators and investors and is rapidly expanding through acquisitions. As we grow, our internal technology platform grows with it — and the engineers who build and maintain these systems play a critical role in that growth.Joining Longview means working on real systems that power real businesses, not hypothetical products. You will build and operate AI and automation systems that impact thousands of jobs, millions of dollars in operations, and the future of an entire industry.What You'll DoAI Automation & Agent SystemsDesign, build, and operate AI‑enabled systems that support core business workflows. Examples include:AI call analysis and sales coaching systemsAI customer service and collections workflowsAI job review and field operations toolsLLM‑powered document, transcript, image, and video analysis workflowsAgentic workflows that combine LLMs, business logic, databases, and third‑party APIsGuardrails, validation layers, and escalation workflows for AI outputsYou should be able to move beyond prompt experimentation and build AI systems that are reliable, observable, and useful in production.Application EngineeringBuild internal software tools that help operators run the business more effectively.Responsibilities include:Designing and building internal web applications and operational toolsCreating clean interfaces for business usersBuilding backend services and APIsConnecting applications to databases, AI services, and third‑party systemsTranslating operational problems into usable softwareImproving existing tools for performance, reliability, and usabilityThis role requires someone who can build practical applications, not just scripts.Automation EngineeringDesign and maintain automation pipelines that connect Longview's systems together. You will work with tools and platforms such as:AWS LambdaPythonAPIs and webhooksZapier and other automation platformsGoogle Workspace integrationsAccounting, CRM, job management, and communications platformsInternal data pipelines and event‑driven workflowsYou will be expected to know when to move fast with automation tools and when to graduate workflows into more reliable custom infrastructure.Data Engineering & DatabasesWork with the operational data that powers Longview's internal systems.Responsibilities include:Designing and maintaining relational database structuresWriting and optimizing SQL queriesBuilding data integrations between internal and external systemsDebugging data quality issuesSupporting reporting, dashboards, and internal analyticsCreating durable data models for operational workflowsEnsuring AI and automation systems have clean, reliable dataProduction Hardening & ReliabilityTake systems from prototype to dependable production operation.Responsibilities include:Adding logging, monitoring, and alertingImplementing retries, error handling, and failure recoveryImproving validation and guardrailsBuilding internal tools for debugging and supportReducing silent failures and manual interventionImproving system performance and reliabilityCreating documentation that makes systems easier to support and scaleYou will be expected to own systems after they launch, not just hand them off.System Ownership & Operational SupportThis is a production ownership role. You will help ensure critical systems continue working after they are deployed.Responsibilities include:Troubleshooting broken automations and integrationsInvestigating failures across APIs, databases, queues, and applicationsSupporting internal teams as they adopt new toolsImproving onboarding and documentationIdentifying weak points in workflows before they become business problemsPartnering with operations leaders to make systems more useful over timeWhat We're Looking ForRequiredStrong Python engineering skillsStrong SQL and relational database experienceExperience building production applications, internal tools, or backend servicesExperience integrating with third‑party APIs and webhooksExperience with automation platforms or workflow orchestration toolsExperience building reliable systems with logging, monitoring, and error handlingComfort working directly with business users and operational teamsAbility to own ambiguous problems and drive them to working production systemsStrong debugging and systems‑thinking abilityAbility to balance speed, pragmatism, and technical qualityStrongly PreferredExperience with AWS, especially Lambda, S3, RDS, SQS, EventBridge, or API GatewayExperience building LLM‑powered applications or AI agent workflowsExperience with OpenAI, Anthropic, Gemini, Bedrock, or similar AI platformsExperience with application frameworks such as Django, FastAPI, Flask, Node, or similarExperience building internal dashboards, admin tools, or workflow applicationsExperience with DevOps, CI/CD, observability, or production supportExperience integrating with CRM, accounting, job management, communications, or field service platformsNice to HaveExperience with Zapier, Make, Retool, or similar internal tool platformsExperience with data pipelines and analytics workflowsExperience with document processing, call transcription, computer vision, or multimodal AIExperience in a high‑growth, acquisition‑driven, or multi‑location operating companyExperience in restoration, home services, field services, insurance, or construction workflowsWho This Role Is Great ForThis role is ideal for someone who:Likes building systems that actually get usedEnjoys turning messy business workflows into clean softwareCan work across applications, automation, data, and AIWants ownership, not just assigned ticketsIs comfortable supporting real operations where reliability mattersLikes using AI pragmatically to solve business problemsCan prototype quickly but also knows how to harden systems for productionWants to help build the operating system for a growing AI‑powered services companyWho This Role Is Not ForThis role is probably not a fit if you are looking for:A pure machine learning research roleA narrow frontend‑only or backend‑only engineering roleA role where requirements are always fully defined before work beginsA role focused only on prototypes or demosA large engineering team with highly specialized responsibilitiesA low‑ownership role where systems are handed off after launchWhat Success Looks LikeWithin the first 6–12 months, you will:Take ownership of several production AI and automation systemsBuild new internal applications that improve core operating workflowsReduce manual work across sales, operations, finance, and customer experienceImprove reliability, monitoring, and failure recovery across key systemsHelp scale internal AI tools across multiple operating companiesTurn prototypes into durable systems used every day by real teamsBecome a technical owner for a meaningful part of Longview's internal platformWhy This Role MattersLongview is using AI and automation to change how restoration companies operate. The work you build will not sit in a demo environment. It will support real people doing real work: answering customers, collecting invoices, reviewing jobs, managing operations, and scaling acquired companies. This is a high‑impact role for a senior engineer who wants to build practical AI systems inside a real operating business.How to ApplyIf you are excited about AI, automation, applications, and building systems that power real companies, we'd love to talk. To apply, email your resume to adam@longviewrestoration.com .#J-18808-Ljbffr