Senior Software Engineer, AI Agent Platform

Sift; California (MO); Hybrid; USD 170,000 - 220,000; Full time

Benefits offered by this job

Equity

Relocation to LA or SF

Office in LA or SF

Benefits

Job summary

Sift, the data infrastructure platform for hardware engineering teams, is seeking a product engineer to own the Agentic Systems area. You will talk directly to customers, decide what to build, and shepherd features from MVP to production across dashboards, analysis scripts, and agent workflows.

You’ll design scalable systems on Kubernetes, build APIs, and evaluate frontier models, balancing reliability, latency, and cost while shipping rapidly with the team.

Qualifications

• 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 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, 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

8+ years software eng

Owns product area

APIs REST/gRPC

Distributed systems

Curious about AI products

Tools

Go

Python

Rust

Job description

Sift, the data infrastructure platform for hardware engineering teams, is seeking a product engineer to own the Agentic Systems area. You will talk directly to customers, decide what to build, and shepherd features from MVP to production across dashboards, analysis scripts, and agent workflows.

You’ll design scalable systems on Kubernetes, build APIs, and evaluate frontier models, balancing reliability, latency, and cost while shipping rapidly with the team.