Software Engineer, Full Stack – Agentic AI

Sift

Software Engineer responsible for developing agentic systems that utilize telemetry for hardware engineering. Engaging with customers and owning product features from inception to iteration.

Posted 7/22/2026full-timeMarina del Rey • California • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining scalable software systems, with a strong focus on frontend development using React or NextJS, and backend services utilizing Go, Python, or Rust. Capable of integrating AI models and delivering insights through effective API design and customer collaboration.

Highest-signal resume keywords

Frontend Web Application DevelopmentAPI Development (REST, gRPC)Software Engineering (3+ Years)AI Product IntegrationLarge-Scale Data Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

ReactNextJSGoPythonRustAPI DesignTime-Series Data ManagementTelemetry AnalysisDashboard GenerationCustom Compaction Algorithms

Soft Skills

Customer CollaborationProduct OwnershipCuriosity About AI Products

Tools & Technologies

MCP ServerCloud InfrastructureOn-Prem Solutions

Industry Keywords

Agentic SystemsTelemetryEvaluation SuitesScalable SystemsFrontend Surfaces

Tech Stack

Tools & technologies

CloudGoGRPCNext.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

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 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

Benefits

Comp & perks

Offers Equity
Multiple Ranges