Staff AI Platform Lead — Backend, Observability & Scale

sentinellabs; United States; Hybrid; USD 54,000 - 91,000; Full time

Benefits offered by this job

Hybrid work CZ/SK

Paid time off

Private medical care

Pension contributions

RSUs and ESPP

Bonus

Home office allowance

Meal allowance

Wellness allowance

Multi-sport program

Job summary

SentinelLabs is seeking a staff-level backend engineer to lead the design and delivery of a new AI Platform that accelerates AI feature delivery while upholding security, cost, and quality. You will combine hands-on technical leadership with close collaboration with product teams and occasionally contribute to customer-facing AI features that evolve into shared platform services.

The role focuses on core services including agent and Model Context Protocol infrastructure, evaluation pipelines,

Qualifications

• 7+ years of experience building and operating backend distributed systems at scale in production.
• Hands-on experience with LLM-powered systems, such as model API integration, retrieval or agent architectures, evaluation pipelines, or LLM observability.
• Demonstrated success leading projects of moderate-to-high complexity end-to-end, including coordinating the work of other engineers.
• Strong coding skills in a mainstream backend language (Python or Java) and solid experience with Kubernetes and cloud infrastructure.
• A product mindset, with experience building customer-facing features and translating user and customer needs into technical decisions.

Responsibilities

• Lead end-to-end design and delivery of core AI Platform services, from ambiguous requirements through production, including evaluation pipelines, agent and MCP infrastructure, and observability tooling.
• Architect solutions with performance, scalability, security, and testability baked in from the start.
• Partner with product teams to build customer-facing AI features where needed, then platformize the patterns that prove valuable.
• Shape the team's technical roadmap, influencing technology selection and build-versus-buy decisions.
• Own operational excellence — reliability, observability, capacity planning, deployment strategy, and blameless postmortems — for the services you build.
• Mentor other engineers through design reviews, code reviews, and technical guidance.

Skills

Distributed systems

Kubernetes

Cloud infrastructure

Python/Java

Tools

Kubernetes

Cloud platforms

Job description

SentinelLabs is seeking a staff-level backend engineer to lead the design and delivery of a new AI Platform that accelerates AI feature delivery while upholding security, cost, and quality. You will combine hands-on technical leadership with close collaboration with product teams and occasionally contribute to customer-facing AI features that evolve into shared platform services.

The role focuses on core services including agent and Model Context Protocol infrastructure, evaluation pipelines,