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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.

About the role

Salesforce is seeking a passionate and highly skilled Software 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 Intelligence Engine 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.

Key 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 prompt 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.

• Provide technical guidance for building agentic workflows.

• Vocally advocate for technical excellence and collaborating to help the team make good decisions.

• Translate architecture into technical planning and execution.

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 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.

• Proficient with evaluation of ML model performance.

• 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.

• Demonstrated experience designing and implementing novel solutions to complex software challenges.

• 10+ years of experience building ML and data-intensive applications.

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

For Washington-based roles, the base salary hiring range for this position is $204,400 to $296,400.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.