Backend Engineer for Agentic AI — Build Real-Time Agents

Sift Stack, Inc.; San Francisco (CA); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Unlimited PTO

Free lunch

401k

Job summary

Sift is hiring a Software Engineer, Backend (Agentic AI) in San Francisco, CA. Join a team building agentic software that analyzes telemetry from mission‑critical hardware and ships dependable tools for engineers.

You’ll own features end‑to‑end, from customer discovery to production, across Kubernetes, APIs, and scalable data systems. The role emphasizes product ownership, collaboration with product and customers, and delivering robust agentic workflows with strict observability and performance.

Qualifications

• Have 3+ years of professional software engineering experience.
• Get excited about owning a product area: talking to customers, deciding what to build, and shipping it.
• Have built APIs (REST, gRPC, etc.) and complex backend services with technologies like Go, Python, Rust, or similar.
• Have a working knowledge of distributed systems fundamentals.
• Are curious about new AI products: you try new agents, models, and features as they ship, and have opinions about what makes them good.

Responsibilities

• Talk directly to customers and partner with product to turn real review workflows into agent capabilities: generating dashboards, writing analysis scripts, and surfacing insights buried in their telemetry.
• Design, ship, and operate agentic systems that reason over large‑scale time‑series data and hardware domain context.
• Build everything around the model that makes agents dependable: tool interfaces, sandboxed execution for agent‑generated code, context and memory management, custom compaction algorithms, opinionated skills, and guardrails.
• Build the distributed systems that let long‑running agent work stream in real time, survive disconnects, and resume across restarts.
• Design job‑based execution systems that schedule, scale, and tear down agent workloads on Kubernetes, both in the cloud and on‑prem.
• Develop and maintain Sift’s MCP server, the tool surface that lets both our agents and our customers’ AI tools query telemetry directly
• Design and implement the APIs that power our agentic capabilities
• Build evaluation suites that measure whether agents actually help engineers, and instrument quality, latency, cost, and failure modes in production
• Integrate and assess frontier models across providers

Skills

APIs (REST/gRPC)

Distributed systems

Backend development

Go/Python/Rust

Tools

Go

gRPC

PostgreSQL

Protobuf

Kubernetes

Docker

AWS

Job description

Sift is hiring a Software Engineer, Backend (Agentic AI) in San Francisco, CA. Join a team building agentic software that analyzes telemetry from mission‑critical hardware and ships dependable tools for engineers.

You’ll own features end‑to‑end, from customer discovery to production, across Kubernetes, APIs, and scalable data systems. The role emphasizes product ownership, collaboration with product and customers, and delivering robust agentic workflows with strict observability and performance.