2 часа назад
Staff Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Backend Engineer (AI): Building scalable backend services, APIs, data flows, and AI-capable infrastructure for a SaaS resident experience platform with an accent on architecture standards, reliability, and production LLM integrations. Focus on designing service-oriented and event-driven systems, resolving performance and scalability issues, and guiding technical execution through mentoring and engineering standards.
Location: Lehi, Utah, United States — hybrid, with office attendance Monday–Wednesday
Company
provides a resident experience platform that helps property managers collect and act on real-time feedback, improve resident experiences, and enhance online reputation.
What you will do
- Write production-grade backend code focused on performance, reliability, and maintainability.
- Guide backend architecture standards, service boundaries, and design patterns.
- Design and ship services, APIs, data flows, and next-generation backend systems.
- Build infrastructure and workflows for production LLM-based and agentic features.
- Identify and resolve performance, scalability, and reliability issues across backend services.
- Mentor engineers and strengthen testing, observability, deployment, and operational practices.
Requirements
- 10+ years of backend software development experience, including staff-level or equivalent senior technical scope.
- Experience designing and shipping scalable backend systems in SaaS or similarly complex product environments.
- Strong knowledge of service-oriented design, event-driven systems, and domain-driven design.
- Deep proficiency in Python, Java, Go, or a comparable backend language.
- Experience with REST, GraphQL, gRPC, cloud infrastructure, containerized systems, CI/CD, automated testing, and DevOps practices.
- Experience integrating AI or LLM capabilities into production applications and mentoring engineers.
Nice to have
- Experience in high-growth SaaS environments or during major platform evolution.
- Familiarity with vector databases, embeddings pipelines, model-serving infrastructure, or related AI platform components.
- Experience with data privacy, compliance, or multi-region considerations.
- Experience partnering with architects or senior engineers on platform-wide technical direction.
Culture & Benefits
- Autonomous, collaborative environment focused on innovation and ownership.
- Medical, dental, vision, and group life insurance, with covering 40–90% of premiums for employees and dependents.
- 401(k) plan with corporate matching and pre-tax HSA.
- Paid parental leave, unlimited time off, and 10 paid holidays annually.
- Monthly wellness reimbursement.
- Benefits are available only to full-time employees.
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