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Senior Software Engineer, Full Stack – Agentic AI
SiftSenior Software Engineer developing dependable AI systems for hardware engineering teams at Sift. Engaging directly with customers to enhance review workflows and telemetric insights.
Posted 7/22/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $170,000 - $220,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating agentic systems, with a strong focus on frontend web application development using React or NextJS, and backend services using Go, Python, or Rust. Capable of integrating AI models and ensuring reliable performance at scale while engaging directly with customers to drive product development.
Highest-signal resume keywords
Frontend Web Application DevelopmentAPI Development (REST, gRPC)Large-Scale Time-Series Data ManagementAgentic Systems DesignCustomer Engagement and Product Ownership
ATS Keywords
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Hard Skills
Software EngineeringFrontend DevelopmentBackend DevelopmentAPI DesignTime-Series Data AnalysisTelemetry QueryingCustom Compaction AlgorithmsContext and Memory ManagementEvaluation Suite DevelopmentIntegration of AI Models
Soft Skills
Customer CommunicationCuriosity about AI ProductsDecision-MakingCollaboration
Tools & Technologies
ReactNextJSGoPythonRustTelemetry ToolsCloud InfrastructureOn-Prem Solutions
Industry Keywords
Agentic SystemsAI ToolsTelemetryLarge-Scale SystemsFrontend Surfaces
Tech Stack
Tools & technologiesCloudGoGRPCNext.jsPythonReactRust
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 8+ years of professional software engineering experience
- Excited about owning a product area: talking to customers, deciding what to build, and shipping it
- Built frontend web applications with technologies like React, NextJS, or similar
- Built APIs (REST, gRPC, etc.) or backend services with technologies like Go, Python, Rust, or similar
- Curious about new AI products: you try new agents, models, and features as they ship, and have opinions about what makes them good.
Benefits
Comp & perks- Offers Equity
- Multiple Ranges