Backend Engineer, Agentic AI & Telemetry (Hybrid)

We Love AI Jobs

San Francisco (CA)

Hybrid

USD 160,000 - 200,000

Full time

14 days+
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Job summary

Sift is the data infrastructure platform for hardware engineering teams. We turn high-frequency telemetry into engineering insights for mission-critical machines: rockets, satellites, autonomous vehicles, energy systems, and defense platforms.

Founded by former SpaceX engineers, we are building the review and analysis layer for the AI era of physical systems. Hardware programs generate far more telemetry than any team can review by hand.

Qualifications

  • 3+ years of professional software engineering experience.
  • Experience building APIs (REST, gRPC, etc.) and complex backend services in Go, Python, Rust or similar.
  • Working knowledge of distributed systems fundamentals.
  • Curious about new AI products and shipping features.

Responsibilities

  • Talk directly to customers and partner with product to turn real review workflows into agent capabilities, generating dashboards and analysis scripts.
  • Design, ship, and operate agentic systems that reason over large-scale time-series data and hardware domain context.
  • Build tool interfaces, sandboxed execution for agent-generated code, context/memory management, and guardrails for agents.
  • Develop distributed systems that let long-running agent workloads run on Kubernetes, in the cloud, and on-prem.
  • Design and implement APIs that power agentic capabilities.
  • Create evaluation suites to measure agent impact on quality, latency, cost, and failures in production.
  • Integrate and assess frontier models across providers.

Skills

Go
Python
Rust
gRPC
Kubernetes
MCP
Distributed systems
Flink

Job description

Sift is the data infrastructure platform for hardware engineering teams. We turn high-frequency telemetry into engineering insights for mission-critical machines: rockets, satellites, autonomous vehicles, energy systems, and defense platforms.

Founded by former SpaceX engineers, we are building the review and analysis layer for the AI era of physical systems. Hardware programs generate far more telemetry than any team can review by hand.

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