Senior Software Engineer, Sift

• Have 8+ 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 frontend web applications with technologies like React, NextJS, or similar
• Have built APIs (REST, gRPC, etc.) or backend services with technologies like Go, Python, Rust, or similar
• Are curious about new AI products: you try new agents, models, and features as they ship, and have opinions about what makes them good

Desirable

• This role comes with real product ownership and autonomy
• You will talk directly to customers to understand how they review their machines, decide what to build, and own it from first MVP through every iteration after it ships
• The surface area is wide: one day you might be polishing the frontend micro-interactions that make the chat experience feel great, the next you might be writing the Kubernetes scaling logic that orchestrates agent workloads
• We’re heavy users of frontier agentic products ourselves and have strong opinions about what makes them great
• Sift Agents is where we put those opinions to work
• This is a product engineering role, not a research role
• Most of the work is the hard part of making agents dependable: tool design, context management, code execution environments, evaluation, and observability
• 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
• Develop and maintain Sift’s MCP server, the tool surface that lets both our agents and our customers’ AI tools query telemetry directly
• Work across the whole stack
• Build the frontend surfaces where Sift Agents live, and make them feel great
• Design and implement the APIs that power our agentic capabilities
• Run agents reliably at scale, both in the cloud and on-prem
• 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