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About the Role

Sift Agents is an AI solution designed to assist hardware engineers by investigating anomalies, reviewing data, and answering complex questions quickly. This role offers significant product ownership and autonomy, allowing you to engage directly with customers, define product strategy, and manage the entire development lifecycle from MVP to post-launch iterations. The work involves designing user interfaces for agent interactions, developing Kubernetes scaling logic, and focusing on making AI agents dependable through tool design, context management, code execution, evaluation, and observability.

Responsibilities

Partner with product and customers to translate real-world review workflows into agent capabilities, including dashboard generation, analysis script creation, and insight surfacing from telemetry.
Design, deploy, and manage agentic systems that process large-scale time-series data and hardware domain context.
Develop foundational components for dependable agents, such as tool interfaces, sandboxed code execution environments, context/memory management, custom compaction algorithms, skills, and guardrails.
Build distributed systems for streaming agent work in real-time, ensuring resilience to disconnects and seamless resumption after restarts.
Design job-based execution systems for scheduling, scaling, and managing agent workloads on Kubernetes (cloud and on-prem).
Develop and maintain Sift’s MCP server, enabling agents and customer AI tools to query telemetry.
Design and implement APIs to support agentic functionalities.
Create evaluation suites to measure agent effectiveness and monitor production quality, latency, cost, and failure modes.
Integrate and assess leading AI models from various providers.

Requirements

8+ years of professional software engineering experience.
Demonstrated experience owning a product area, including customer interaction, product definition, and shipping.
Experience building APIs (REST, gRPC) and complex backend services using languages like Go, Python, or Rust.
Working knowledge of distributed systems fundamentals.
Curiosity and active engagement with new AI products, agents, and models.

Skills

API design (REST, gRPC)
Backend service development
Distributed systems
AI products
LLM-powered features
Agentic systems
Time-series data
Scientific computing
Hardware test and telemetry
Kubernetes
Observability
Incident response
Streaming data systems
Sandboxed code execution

Location

Marina Del Rey, CA
San Francisco, CA

Work Type

Hybrid
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 a data infrastructure platform for hardware engineering teams, transforming high-frequency telemetry into engineering insights for critical systems like rockets, satellites, and autonomous vehicles.
Founded by former SpaceX engineers, Sift is building the review and analysis layer for the AI era of physical systems.
The company is in the early stages of product development, offering opportunities to influence platform evolution and scaling.

Equal Opportunity

U.S. Person Required: 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.