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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 efficiently. 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 talk directly to customers to translate real-world review workflows into agent capabilities, including generating dashboards, writing analysis scripts, and surfacing insights from telemetry.
Design, ship, and operate agentic systems that process large-scale time-series data and hardware domain context.
Build dependable agent systems, including tool interfaces, sandboxed execution environments for agent-generated code, context and memory management, custom compaction algorithms, skills, and guardrails.
Develop distributed systems for streaming agent work in real-time, ensuring resilience to disconnects and enabling 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 for agentic capabilities.
Build evaluation suites to measure agent effectiveness and instrument production systems for quality, latency, cost, and failure modes.
Integrate and assess frontier models from various providers.

Requirements

8+ years of professional software engineering experience.
Experience owning a product area, including customer interaction, product definition, and shipping.
Experience building APIs (REST, gRPC, etc.) and complex backend services using technologies like Go, Python, Rust, or similar.
Working knowledge of distributed systems fundamentals.
Curiosity about new AI products, including trying new agents, models, and features as they are released.

Skills

APIs (REST, gRPC)
Backend services
Go
Python
Rust
Distributed systems
AI products
LLM-powered features
Agentic systems
Multi-step tool use
Planning loops
Context management
Evals
Tool ecosystems for agents
Sandboxed execution
Production operations (Kubernetes, observability, incident response)
Streaming data systems
Time-series data systems
Scientific computing
Hardware test and telemetry

Location

Marina Del Rey, CA
San Francisco, CA

Work Type

Hybrid
Relocation assistance

Experience Level

8+ years of professional software engineering experience

Salary/Compensations

$180,000 - $230,000 per year

Benefits

Equity

About the Company

Sift is the 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.
Early-stage company with opportunities to help evolve and scale the platform.

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.