Software Engineering LMTS

SalesforceBellevue, WA
$172,500 - $260,100

About The Position

Salesforce is seeking a passionate and highly skilled AI/SW Engineer to join our team in Tableau developing the #1 AI-powered analytics agents for helping customers see, understand, and act on data. On the Analytics Agent team, you will work at the forefront of agentic application development, building groundbreaking, multi-modal products and tools that transform how people engage with data. This is an opportunity to contribute to a dynamic, fast-paced environment, applying your expertise to build scalable, data-intensive systems for analytics. We're looking for curious and motivated engineers who want to play a significant role in pushing the boundaries of what AI agents can achieve.

Requirements

  • Adaptable and Innovative Mindset: Fearless about learning new technologies and excited to work in a fast-paced, ambiguous environment.
  • Possess a problem-first approach with a careful and principled methodology for building resilient systems.
  • Expertise in shaping experiences with LLMs and agents.
  • Proficient with evaluation of ML model performance.
  • Proficient in Python, Java, or other languages.
  • Experience building full-stack applications with expertise in either backend, frontend, or both.
  • Ability to handle error cases, write asynchronous code, and work effectively with streaming data.
  • Professional experience in developing, scaling, and maintaining applications at a production scale.
  • Familiar with DevOps principles, infrastructure best practices, and cloud-based deployments.
  • Knowledgeable about queues, message buses, and event-driven architectures.

Responsibilities

  • Collaborate with product managers, fellow engineers, and researchers to build next-generation generative AI products and prototypes to make our customers successful.
  • Propose and rapidly iterate on ideas and experiments, as though in a startup environment, to achieve product-market fit for cutting-edge analytics agents.
  • Build and shape user experiences using context engineering and generative AI capabilities.
  • Design and build scalable and performant agentic systems, taking throughput and latency into account, recognizing how and where to apply parallel processing, stream processing, and asynchronous I/O.
  • Evaluate the performance and quality of the agentic solutions you are building against customer use cases.
  • Solve challenges with probabilistic software, ensuring defensive error handling, streaming data optimization, caching, and explainability.
  • Implement logging, tracing mechanisms, and tools to facilitate debugging, diagnostics, and performance tracking.
  • Engage in light DevOps tasks, leveraging infrastructure best practices to deploy and monitor AI-driven systems.

Benefits

  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
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