AI Engineer

Implement4Los Angeles, CA
Onsite

About The Position

Our client is a privately owned restoration company serving residential and commercial customers throughout the greater Los Angeles market. The company provides emergency restoration, mitigation, reconstruction, and related property services in a fast-moving, operationally complex environment. The leadership team is focused on using technology, automation, and modern AI tools to improve visibility, accountability, speed, and profitability across the business. This is not a traditional software role inside a technology company. This is a builder role inside a real operating business where the systems you create will directly affect field operations, customer communication, financial reporting, job performance, and leadership decision-making. We are looking for a senior engineer who can build intelligent internal systems from the ground up. This person will work directly with ownership and leadership to understand business problems, define the technical path forward, and ship working tools quickly. You will use AI-first development tools, agentic frameworks, APIs, and modern full-stack engineering practices to create internal systems that help the company operate more efficiently. You will be responsible for turning executive ideas, operational pain points, and fragmented data into usable products that the company can rely on every day. This is a founding-engineer style role with real ownership. You will not be joining a large engineering department. You will be the person responsible for designing, building, documenting, launching, and improving the internal AI and automation systems the company runs on.

Requirements

  • 5+ years of full-stack development experience
  • Strong experience with Node.js, TypeScript, JavaScript, APIs, and modern web application architecture
  • Experience building scalable backend services and reliable database structures
  • Strong SQL and/or NoSQL database experience
  • Hands-on experience using AI-first development tools such as Cursor, Windsurf, or similar platforms
  • Experience working with LLM APIs such as OpenAI, Anthropic, or equivalent tools
  • Familiarity with agentic frameworks such as LangChain, AutoGPT-style workflows, or custom agent development
  • Experience integrating third-party business systems through APIs
  • Comfort working with transcription, summarization, or meeting intelligence tools
  • Ability to move quickly without sacrificing documentation, quality, or system reliability

Nice To Haves

  • Experience with restoration, construction, home services, field services, or trades-based businesses
  • Experience integrating with platforms such as DASH, Xactimate, XactAnalysis, ServiceTitan, Salesforce, QuickBooks, Sage, NetSuite, or similar systems
  • Experience building executive dashboards, KPI reporting tools, or operational intelligence systems
  • Experience working directly with owners, CEOs, COOs, or non-technical business leaders
  • Experience in a lean, entrepreneurial company where speed, ownership, and practical execution matter

Responsibilities

  • Translate leadership requests into technical scopes, PRDs, system designs, and working products
  • Build and maintain scalable full-stack applications, internal dashboards, data tools, and automation workflows
  • Design and deploy AI agents and workflow automation tools that solve real business problems
  • Connect third-party business systems using APIs and structured data pipelines
  • Own the full lifecycle of internal tools, including discovery, scoping, development, testing, documentation, launch, and iteration
  • Build clean, reliable, and well-documented systems that can be maintained and expanded over time
  • Manage your own deployments, integrations, cloud environments, databases, and CI/CD workflows
  • Work directly with ownership, operations, finance, sales, and production leadership to identify opportunities for automation and process improvement
  • Protect sensitive financial, customer, employee, and business data with strict confidentiality

Benefits

  • Competitive compensation based on experience, technical capability, and demonstrated ability to build practical AI-enabled business systems.
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