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About the Role

Sift Agents are AI agents designed to work alongside hardware engineers, investigating anomalies, reviewing test and flight data, and answering questions quickly. This role offers product ownership and autonomy, allowing you to engage directly with customers, define product direction, and manage development from MVP to post-launch iterations. You will work across the full stack, from frontend micro-interactions to backend scaling logic, focusing on making agents dependable through tool design, context management, code execution, evaluation, and observability.

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
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

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
Shipped products to users at scale: large data volumes, significant active user counts, or deep technical complexity
Shipped LLM-powered features
Built agentic systems: multi-step tool use, planning loops, context management, and evals
Designed tool ecosystems for agents, including MCP
Worked with sandboxed or isolated execution of generated code
Operated services in production (Kubernetes, observability, incident response)
A personal ecosystem of AI dev tooling: custom agents, skills, scripts, or workflows built to ship faster
A background in time-series data, scientific computing, or hardware test and telemetry
Built internal agentic tooling that accelerates an engineering org
Must be a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee in compliance with ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) regulations.

Skills

React
NextJS
REST APIs
gRPC APIs
Go
Python
Rust
ECharts
gRPC
PostgreSQL
Protobuf
Radix
React
Redux
TypeScript
Arrow
DataFusion
Flink
Parquet
Rust
Argo CD
AWS
Docker
GitHub Actions
Grafana
Kubernetes
Kustomize
Linux
Prometheus
Terragrunt

Location

Marina Del Rey, CA
San Francisco office

Work Type

Hybrid (in-person twice a week)
Relocation assistance available

Experience Level

8+ years of professional software engineering experience

Salary/Compensations

$170,000 - $220,000 per year

Benefits

Equity
Benefits

About the Company

Sift is the data infrastructure platform for hardware engineering teams.
Sift turns high-frequency telemetry into engineering insights for mission-critical systems.
Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more.
Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.
You'll have the opportunity to help evolve and scale our platform because we're still in the early stages of building the product.