Software Engineer, Backend (Agentic AI)
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Role Overview
Sift Agents provides AI agents that investigate anomalies, review test and flight data, and answer questions about hardware telemetry.
This product engineering role includes customer collaboration, product ownership, tool design, context management, code execution environments, evaluation, and observability.
The role spans agent interfaces, distributed systems, Kubernetes scaling, APIs, and production reliability.
Key Skills for This Role
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About Sift
Sift is a data infrastructure platform for hardware engineering teams.
The platform turns high-frequency telemetry into engineering insights for rockets, satellites, autonomous vehicles, energy systems, and defense platforms.
About the Role
Sift Agents provides AI agents that investigate anomalies, review test and flight data, and answer questions about hardware telemetry.
This product engineering role includes customer collaboration, product ownership, tool design, context management, code execution environments, evaluation, and observability.
The role spans agent interfaces, distributed systems, Kubernetes scaling, APIs, and production reliability.
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 context.
- Build dependable agent infrastructure, including tools, sandboxed code execution, context and memory management, skills, and guardrails.
- Build distributed systems for real-time streaming, disconnect recovery, and restartable long-running work.
- Schedule, scale, and tear down agent workloads on Kubernetes in cloud and on-premises environments.
- Develop the MCP server and APIs used to query telemetry.
- Build agent evaluation suites and monitor quality, latency, cost, and failure modes.
- Integrate and assess frontier models across providers.
Required Qualifications
- At least 3 years of professional software engineering experience.
- Experience building REST, gRPC, or similar APIs and complex backend services.
- Working knowledge of distributed systems fundamentals.
- Experience with Go, Python, Rust, or similar backend technologies.
- Interest in product ownership, customer conversations, prioritization, and shipping.
Bonus Qualifications
- Experience shipping products at scale or shipping LLM-powered features.
- Experience building agentic systems, MCP tool ecosystems, or sandboxed generated-code execution.
- Experience operating production services with Kubernetes, observability, and incident response.
- Experience with streaming or time-series systems such as Kafka, Flink, or TimescaleDB.
- Background in time-series data, scientific computing, hardware testing, telemetry, or internal engineering tooling.
Engineering Technologies
- Web and backend technologies include ECharts, Go, gRPC, PostgreSQL, Protobuf, React, Redux, and TypeScript.
- Data technologies include Arrow, DataFusion, Flink, Parquet, and Rust.
- Infrastructure technologies include Argo CD, AWS, Docker, GitHub Actions, Grafana, Kubernetes, Kustomize, Linux, Prometheus, and Terragrunt.
Location and Work Arrangement
- The headquarters is in Marina del Rey, California, near LAX.
- The team collaborates in person twice a week on Mondays and Thursdays.
- The company holds a full team week every two months and may support relocation to Los Angeles or work from the San Francisco office.
Compensation
- Salary range is $160,000 to $200,000 per year, plus equity and benefits.
Eligibility
- U.S. person eligibility is required for compliance with ITAR and EAR regulations.
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