Senior AI Platform Engineer — GenAI Systems (Remote)

Samsara Inc.; San Francisco (CA); Remote; USD 131,000 - 198,000; Full time

Benefits offered by this job

Remote work options

Professional development stipend

Parental leave

Job summary

Samsara Inc. is seeking a Senior Software Engineer, AI Platform, to design and build core platform capabilities powering AI-driven experiences across products.

You will shape execution patterns, APIs, and services for reliable, scalable GenAI workflows while collaborating with AI engineers and cross-functional teams. The role emphasizes distributed systems, correctness, and operational excellence, enabling teams to deploy production-grade AI capabilities with confidence.

Qualifications

• 6+ years of professional software engineering experience with large-scale backend or platform systems.
• Hands-on experience building GenAI-powered systems in production, including LLM integration.
• Experience designing GenAI workflows (prompt orchestration, tool execution, routing).
• Proven experience designing distributed systems with multi-step execution and service contracts.

Responsibilities

• Build and evolve core AI platform capabilities for GenAI-powered applications.
• Design shared execution patterns, APIs, and services for multi-step workflows and integrations.
• Develop reliable, extensible backend systems powering AI-driven experiences across the sales funnel and beyond.
• Collaborate with AI engineers, data scientists, product partners, and sales operators to productionize AI use cases.

Skills

GenAI workflows

Distributed systems

Backend programming

Python

Go

Java

Tools

LangChain

OpenAI SDK

MCP

APIs

Job description

Samsara Inc. is seeking a Senior Software Engineer, AI Platform, to design and build core platform capabilities powering AI-driven experiences across products.

You will shape execution patterns, APIs, and services for reliable, scalable GenAI workflows while collaborating with AI engineers and cross-functional teams. The role emphasizes distributed systems, correctness, and operational excellence, enabling teams to deploy production-grade AI capabilities with confidence.