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Home Solutions logo
Home Solutions

We make home service experiences better for everyone.

Staff Backend Engineer, AI Platform

Backend EngineerSoftware EngineerOtherRemoteLeadTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

North Carolina

Posted

105 days ago

Salary

0

Seniority

Lead

Bachelor Degree7 yrs expEnglishAWSDistributed SystemsGCPPython

Job Description

Staff Backend Engineer, AI Platform

Home Solutions

• Design and evolve the backend architecture that powers our AI-driven acquisition systems. • Build and maintain scalable, well-designed APIs (FastAPI/Python) serving internal tools and external partners. • Ensure systems are modular, extensible, and built for long-term durability. • Own cloud architecture in GCP/AWS/Digital Ocean (multi-environment, production-grade systems). • Lead Infrastructure-as-Code implementation and environment standardization. • Improve system resilience, monitoring, alerting, and failure recovery patterns. • Drive redundancy and risk mitigation across critical services. • Support orchestration between AI agents, business logic, and partner systems. • Build backend services that enable experimentation, optimization, and real-time decisioning. • Collaborate with Data and Product teams to productionize intelligent workflows. • Design clean abstraction layers over partner APIs. • Support real-time booking, routing, and multi-channel engagement. • Build systems that scale as partner complexity grows. • Set architectural standards and raise the bar for backend engineering. • Mentor engineers and influence long-term technical direction. • Identify and eliminate system bottlenecks before they constrain growth.

Job Requirements

  • 7+ years of backend engineering experience, including experience at senior or staff level.
  • Deep expertise in Python backend development.
  • Experience with FastAPI (or similar modern Python frameworks).
  • Demonstrated experience designing and building APIs at scale.
  • Significant experience with cloud infrastructure (ideally AWS or GCP).
  • Hands-on experience with Infrastructure as Code.
  • Experience building and operating distributed systems in production.
  • Exposure to data engineering concepts.
  • Strong understanding of system performance, reliability, and scalability tradeoffs.
  • Experience building platforms that support AI-driven decisioning or customer acquisition.
  • Strong product intuition and ability to translate ambiguous goals into scalable systems.
  • An “AI-first” mindset - you instinctively look for automation, intelligence, and leverage in system design.

Benefits

  • health, medical, and vision insurance
  • 401(k) match
  • short-term disability coverage
  • cell phone reimbursement
  • flexible time off
  • bi-annual $500 Relax & Recharge bonus
  • learning and development stipend
  • Charity Match program

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