Senior AI Platform Engineer

Samsara
Remote

About The Position

Samsara's Integrations, Data Engineering, and AI (IDEA) team is a key part of Samsara’s Business Technology organization, driving innovation through data and AI. Our mission is to empower and enable everyone at Samsara with AI-powered tools and capabilities so they can get their work done more effectively. We bridge technology, innovation, and business needs to infuse AI-powered solutions into our organization. We are looking for a hands-on AI platform Engineer to build, ship, and scale Samsara’s Enterprise AI platform that provides end-to-end capabilities for AI agents to be deployed, managed, governed etc. As a Senior AI Platform Engineer, you’ll own the full lifecycle of AI-powered systems — from initial design and prototyping to production deployment, monitoring, and iteration. You will collaborate with architects, engineers, and cross-functional stakeholders across Samsara to brainstorm, design, rapidly prototype, and productionalize AI-driven features and capabilities that integrate deeply into real business workflows.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or related Engineering discipline.
  • 10+ years of industry experience in software engineering or data platform development, including:
  • 3+ years of experience owning the development, testing, deployment, monitoring, and support of web applications and backend APIs.
  • 0-1+ year of experience building and deploying production-ready Generative AI solutions, with responsibility for reliability and performance.
  • 1+ year of experience in administering AWS platform.
  • Strong expertise in Python and AI/ML fundamentals, particularly Generative AI solutions (e.g., LLMs, vector databases, prompt engineering, embeddings, RAG systems).
  • Experience with AI agent development frameworks and tooling (e.g., LangChain, LangGraph, CrewAI, LlamaIndex, OpenAI SDK, MCP, A2A).

Nice To Haves

  • Experienced in 0→1 MVP development, iterative prototyping, and evolving prototypes into production-grade systems.
  • Passionate about staying up to date with industry news, AI development trends, tools, and best practices.
  • Knowledgeable about SDLC best practices and actively experiments with and adopts modern AI development tools and patterns.
  • An excellent communicator with the ability to work effectively in cross-functional settings and translate business needs into technical solutions.

Responsibilities

  • Build, and own end-to-end Data & AI platform (Databricks,AWS or other tech stack) from ideation , prototyping , production deployment and monitoring.
  • Architect and scale company-wide GenAI capabilities to support domain-specific business AI Agents that are embedded into real operational workflows.
  • Provide documentation and support to business users to deploy and manage AI agents at scale.
  • Lead platform investments in areas like RAG infrastructure, embedding pipelines, LLM orchestration, and multi-modal data processing.
  • Serve as a technical anchor and mentor for the broader AI & Data team, raising the engineering bar across the organization.
  • Design and integrate AI solutions with internal systems and third-party platforms, including SaaS tools, APIs, data platforms, and enterprise systems.
  • Develop and launch AI-powered solutions to improve efficiency and personalization across business functions such as Customer Support, People/HR, Legal, and Finance.
  • Collaborate closely with top-tier engineers, data scientists, and business users in a fast-moving environment.
  • Apply and scale software engineering excellence, including reliability, observability, and maintainability of production data & AI systems.

Benefits

  • flexible, employee-led remote model
  • professional development stipend
  • comprehensive health and parental leave plans
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