Senior Software Engineer, AI Platform

Samsara

Remote

Full Time

Posted March 30, 2026

$131k - $198k

Not Specified

Remote

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Job Description

The role involves designing and developing scalable AI platform capabilities to support GenAI-powered applications, enabling multi-step workflows and system integrations, primarily for sales and revenue operations, in a remote, fast-paced environment.

Key Responsibilities

Build and evolve core AI platform capabilities for developing, running, and scaling GenAI-powered applications.
Design and implement shared execution patterns, APIs, and services supporting multi-step AI workflows and system integrations.
Develop reliable, extensible backend systems that enable AI-driven experiences across various business functions.
Collaborate with AI engineers, data scientists, and product teams to turn emerging AI use cases into production-ready platform features.
Partner closely with cross-functional teams to shape shared platform architecture, define system contracts, and support AI workflows.

Requirements

6 years of professional software engineering experience excluding internships and contract roles, with a strong emphasis on building and operating large-scale, production backend or platform systems.
Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services.
Experience designing or implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines.
Proven experience designing and implementing distributed systems that support multi-step execution, asynchronous workflows, and well-defined service contracts.
Strong proficiency in backend programming languages e.g., Python, Java, Go, or similar, and experience building reliable services with clear input/output schemas.
Expertise in Python and GenAI frameworks e.g., LangChain, OpenAI SDK, MCP, etc.
Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries, fallbacks, and basic evaluation or monitoring approaches.
Ability to work in fast-paced, cross-functional environments with strong product sense.
Located in and authorized to work in the United States (this is a fully remote role).
Experience working on AI products in a sales, go-to-market, or revenue operations context (preferred).
Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM enablement platforms (preferred).
Experience integrating with vector databases, retrieval systems, or streaming voice chat pipelines (preferred).
A track record of leading major technical initiatives or mentoring engineers in high-growth teams (preferred).
Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management (preferred).