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. 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.