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Senior/Lead/Principal Software Engineer - Frontier AI

Salesforce
San Francisco, United Statesfull_timeVerifiedPosted 8 Oct 2024
💰 $323,400/yr($165,600/yr$323,400/yr)

About the role

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Job Category

Software Engineering

Job Details

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Senior/Lead/Principal Software Engineer - Frontier AI 

About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. We lead with our core values, helping companies across every industry blaze new trails and connect with customers in innovative ways. We empower you to be a Trailblazer too — driving your career growth and making an impact in the world. If you believe in the power of business as a platform for change, you've come to the right place.

About the Role

Join the Frontier AI team at Salesforce to work at the cutting edge of AI and generative technologies. As a Software Engineer on this team, you'll partner with some of the brightest minds in AI to build groundbreaking products, prototypes, and tools that transform how our customers interact with Salesforce's suite of products.

This is an opportunity to contribute to a dynamic, fast-paced environment, applying your expertise to build scalable, data-intensive systems that deliver transformative AI-driven experiences. We're looking for curious and motivated engineers who want to play a significant role in pushing the boundaries of what AI can achieve.

Check out this article on the Salesforce AI Research blog to see an example of what the Frontier AI team is working on: Introducing Generative Canvas: Dynamically Generated UX, Grounded in Trusted Data and Workflows

Key Responsibilities

  • Collaborate with AI researchers, product managers, and fellow engineers to build next-generation generative AI products and prototypes.

  • Rapidly iterate on ideas and experiments, as though in a startup environment, to achieve product-market fit for cutting-edge AI technologies.

  • Build and shape user experiences using prompt engineering and generative AI capabilities.

  • Solve challenges with probabilistic software, ensuring defensive error handling, streaming data optimization, caching, and analytics.

  • Engage in light DevOps tasks, leveraging infrastructure best practices to deploy and monitor AI-driven systems.

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 Generative AI and Large Language Models: Experienced in prompt engineering and comfortable building and shaping experiences with large language models. Proficient with RAG (Retrieval-Augmented Generation), fine-tuning, LangChain, LLamaIndex, and Langgraph. Understand challenges associated with large models, including latency and variance, and stay updated by regularly exploring new research papers or trends in AI communities.

  • Strong Programming and Full-Stack Development Skills: Proficient in Python, Java, JavaScript, and 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.

  • Experience with Modern Software Development Practices: Familiar with DevOps principles, infrastructure best practices, and cloud-based deployments. Knowledgeable about queues, message buses, and event-driven architectures.

Our Tech Stack Our current technology stack includes Python, Java, JavaScript, React, and we actively experiment with new tools and t

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Company

Salesforce

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