AI Engineer

Samsara Samsara · Enterprise · San Francisco, CA · Business Systems

AI Engineer IV responsible for building, shipping, and scaling AI applications and capabilities end-to-end, from design and prototyping to production deployment and iteration. The role focuses on architecting and scaling GenAI capabilities and business applications embedded into operational workflows, integrating AI solutions with internal and external systems, and developing AI-powered solutions for various business functions. Requires strong Python, Generative AI, and AI agent framework experience.

What you'd actually do

  1. Build, ship, and own end-to-end AI-powered applications, from ideation and prototyping through production deployment, monitoring, and ongoing iteration.
  2. Architect and scale company-wide GenAI capabilities and domain-specific business applications that are embedded into real operational workflows.
  3. Design and integrate AI solutions with internal systems and third-party platforms, including SaaS tools, APIs, data platforms, and enterprise systems.
  4. Develop and launch AI-powered solutions to improve efficiency and personalization across business functions such as Customer Support, People/HR, Legal, and Finance.
  5. Apply and scale software engineering excellence, including reliability, observability, and maintainability of production AI systems.

Skills

Required

  • Python
  • Generative AI
  • LLMs
  • vector databases
  • prompt engineering
  • embeddings
  • RAG systems
  • AI agent development frameworks
  • LangChain
  • LangGraph
  • CrewAI
  • LlamaIndex
  • OpenAI SDK
  • MCP
  • A2A
  • web applications
  • backend APIs
  • reliability
  • observability
  • maintainability

Nice to have

  • 0→1 MVP development
  • iterative prototyping
  • evolving prototypes into production-grade systems
  • modern AI development tools and patterns
  • cross-functional settings

What the JD emphasized

  • 1+ year of experience building and deploying production-ready Generative AI solutions, with responsibility for reliability and performance.
  • 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).

Other signals

  • building and deploying production-ready Generative AI solutions
  • architect and scale company-wide GenAI capabilities
  • AI agent development frameworks and tooling