Senior AI Platform Engineer – Build Scalable Agent Systems

Sentry.io; San Francisco (CA); On-site; USD 155,000 - 400,000; Full time

Job summary

Sentry is seeking a Senior Engineer in San Francisco to build the AI platform powering agent-based production problem-solving for our customers. You will work on long-running jobs and complex data workflows, delivering robust, debuggable systems that scale with AI advances.

You will own major AI initiatives, collaborating with product teams and developers to enable seamless model swaps and flexible architectures using Sentry’s vast error, span, and profile datasets.

Qualifications

• 5+ years building production systems, including LLM-backed products.
• Solid production Python and TypeScript experience.
• Strong distributed-systems instincts: timeouts, idempotency, failure modes.
• Model training experience is a plus, not required.

Responsibilities

• Build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues.
• Make every run debuggable: traces, cost and latency per run, and enough context to explain a bad answer.
• Build eval and rollout tooling to swap models without guessing.
• Keep systems flexible for future model/protocol upgrades without rewrites.
• Leverage Sentry’s large dataset of errors, spans, and profiles.
• Own major AI initiatives, collaborating with developers and product teams.

Skills

Python

TypeScript

Distributed systems

LLM / AI platforms

Job description

Sentry is seeking a Senior Engineer in San Francisco to build the AI platform powering agent-based production problem-solving for our customers. You will work on long-running jobs and complex data workflows, delivering robust, debuggable systems that scale with AI advances.

You will own major AI initiatives, collaborating with product teams and developers to enable seamless model swaps and flexible architectures using Sentry’s vast error, span, and profile datasets.