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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 agent dependability, such as tool interfaces, sandboxed code execution environments, context and memory management, data compaction algorithms, custom skills, and guardrails.
Build distributed systems that support 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, supporting both cloud and on-premise deployments.
Develop and maintain Sift’s MCP server, providing a tool interface for agents and customer AI tools to query telemetry.
Design and implement APIs to support agentic functionalities.
Create evaluation suites to measure agent effectiveness in assisting engineers, and implement production monitoring for quality, latency, cost, and failure modes.
Integrate and evaluate cutting-edge models from various providers.

Requirements

Possess 3+ years of professional software engineering experience.
Demonstrate a passion for product ownership, including customer interaction, strategic decision-making, and product delivery.
Experience building APIs (REST, gRPC, etc.) and complex backend services using languages such as Go, Python, or Rust.
Solid understanding of distributed systems fundamentals.
Curiosity and engagement with new AI products, including trying new agents, models, and features as they are released.

Skills

API Development (REST, gRPC)
Backend Services
Go
Python
Rust
Distributed Systems
AI Products
Agentic Systems
Time-series Data
Scientific Computing
Hardware Test and Telemetry
Kubernetes
Observability
Incident Response
Streaming Data Systems
LLM-powered features

Location

Marina Del Rey, CA
San Francisco, CA

Work Type

Hybrid
Relocation Assistance

Experience Level

3+ years of professional software engineering experience

Salary/Compensations

$150,000 - $200,000 per year

Benefits

Equity

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.