AI Engineer

Senior AI-First Full Stack Engineer

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.

This role will focus on creating intelligent tools that sit on top of existing restoration business systems, financial systems, communication platforms, and operational data. Initial projects may include:

• Data integration layer:
  Connect restoration management software, accounting systems, CRM tools, communication platforms, and other internal systems into a unified data layer that leadership can query and use.
• Executive briefing system:
  Build automated weekly and daily reporting for ownership, pulling KPIs such as revenue, gross margin, job volume, estimate volume, technician productivity, collections, lead sources, conversion rates, and AR trends.
• Meeting intelligence pipeline:
  Create a system that ingests recorded leadership or management meetings, transcribes them, summarizes decisions, and produces structured follow-up items by department, manager, deadline, and commitment.
• Accountability log:
  Build a persistent, searchable system that tracks commitments across managers, flags missed follow-ups, and gives leadership visibility into who committed to what and when.
• Ad-hoc analysis agents:
  Develop AI workflows that allow leaders to ask plain-English business questions such as which jobs are underperforming, which lead sources are producing profitable work, where documentation is slipping, or why margins changed month over month.
• Operational exception detection:
  Build systems that monitor data for anomalies, including labor inefficiency, job delays, documentation gaps, pricing issues, missed follow-ups, slow collections, and profitability concerns.
• Field and customer communication tools:
  Help create internal workflows that improve response time, customer updates, job handoffs, and visibility between office teams and field teams.

Core responsibilities include:

• 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…