Software Engineer, Full Stack (Agentic AI)
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Key skills for this role
Role Overview
Sift Agents are AI agents that investigate anomalies, review test and flight data, and answer questions about hardware telemetry.
This product engineering role offers direct customer interaction, broad ownership, and responsibility from the first MVP through later iterations.
The work focuses on making agents dependable through tool design, context management, code execution environments, evaluation, and observability.
Key Skills for This Role
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About Sift
Sift is a data infrastructure platform for hardware engineering teams that turns high-frequency telemetry into engineering insights.
Its customers build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and other mission-critical systems.
Role Overview
Sift Agents are AI agents that investigate anomalies, review test and flight data, and answer questions about hardware telemetry.
This product engineering role offers direct customer interaction, broad ownership, and responsibility from the first MVP through later iterations.
The work focuses on making agents dependable through tool design, context management, code execution environments, evaluation, and observability.
Responsibilities
- Translate customer review workflows into agent capabilities such as dashboards, analysis scripts, and telemetry insights.
- Design, ship, and operate agentic systems over large-scale time-series data and hardware domain context.
- Build tool interfaces, sandboxed code execution, context and memory management, skills, and guardrails.
- Develop and maintain Sift's MCP server for direct telemetry queries.
- Build frontend experiences and APIs for agentic capabilities.
- Run agent workloads reliably at scale in cloud and on-premises environments.
- Build evaluation suites and monitor quality, latency, cost, and production failure modes.
- Integrate and assess frontier models across providers.
Required Skills
- At least 3 years of professional software engineering experience.
- Experience building frontend web applications with React, Next.js, or similar technologies.
- Experience building APIs or backend services with Go, Python, Rust, or similar technologies.
- Curiosity about new AI products, agents, models, and features.
- Ability to own a product area, work with customers, decide what to build, and ship it.
Bonus Qualifications
- Experience shipping products at scale or with significant technical complexity.
- Experience shipping LLM-powered features or building agentic systems.
- Experience with MCP, sandboxed execution, Kubernetes, observability, or incident response.
- Background in time-series data, scientific computing, hardware testing, or telemetry.
Technology Environment
- Relevant technologies include React, Redux, TypeScript, Go, gRPC, PostgreSQL, Protobuf, Rust, and data systems such as Arrow, DataFusion, Flink, and Parquet.
- Infrastructure technologies include AWS, Docker, GitHub Actions, Grafana, Kubernetes, Linux, Prometheus, Argo CD, Kustomize, and Terragrunt.
Workplace
- The role is based in Marina del Rey, California, with in-person collaboration twice weekly on Mondays and Thursdays.
- The company also gathers for a full week every two months and may consider relocation to Los Angeles or work from its San Francisco office.
Compensation
- Salary range is $160,000-$200,000 per year, plus equity and benefits.
Eligibility
- The role requires a U.S. person under ITAR and EAR rules, including a U.S. citizen, lawful permanent resident, or protected individual such as an asylee or refugee.
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