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Staff Backend Engineer, AI Platform at Home Solutions | JobVerse
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Staff Backend Engineer, AI Platform
Home Solutions
Remote
Website
LinkedIn
Staff Backend Engineer, AI Platform
United States
Full Time
14 hours ago
No H1B
Apply Now
Key skills
AWS
Cloud
Distributed Systems
Google Cloud Platform
Python
AI
Data Engineering
BI
FastAPI
GCP
Google Cloud
About this role
Role Overview
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.
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.
Tech Stack
AWS
Cloud
Distributed Systems
Google Cloud Platform
Python
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
Apply Now
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