Software Engineering PMTS

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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.

Salesforce is looking for an AI Software Engineer to be part of the team leveraging advanced generative AI services, pipelines, and components to drive the development and delivery of Agentforce. You will work on and ship impactful generative AI platforms, applications, and products used by millions of people every day.

The Team

We are a group of data scientists, machine learning engineers, and software engineers who are passionate about designing products and building intelligent agents that work alongside humans to drive customer success 24/7. We love to learn, teach, and help each other, and we seek individuals with a collaborative attitude and openness to others' ideas.

The Role

You will play a critical role in integrating generative AI into Agentforce, and using the latest LLM algorithms and technologies to build the next wave of intelligent agents. You will participate in the end-to-end AI product development lifecycle, designing and developing scalable generative AI systems and services. You will collaborate with AI Platform Engineers and Software Engineers to define requirements and develop reusable workflows and ML pipelines.

What You’ll Do:

• Build and own end-to-end scalable services that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production.

• Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring, and root cause analysis.

• Participate in periodic on-call rotations and be available to resolve critical issues.

• Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production.

Required Skills:

• 10+ years of industry experience, including 3+ years in ML Engineering and/or building AI systems and/or services.

• Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms, data structures and software design.

• Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks, such as Kafka, Spark, Docker, and Hadoop.

• Strong programming skills in Python or Java, with experience in building ML pipelines

• Proven ability to innovate and deliver results at scale.

• Basic understanding of deep learning and machine learning algorithms.

• Experience with LLMs and prompt engineering.

• Proven experience building and applying machine learning models to business applications.

Preferred Skills:

• Expertise in retrieval systems and search algorithms.

• Familiarity with vector databases and embeddings.

• Experience developing applications/services for complex business use cases and large amounts of unstructured data.

• Expertise in applying LLMs, prompt design, and fine-tuning methods.

• Experience with conversational AI.

• Excellent problem-solving skills; the ability to tackle problems the world has yet to solve.

• Strong written and verbal communication skills.

• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

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Accommodations

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $230,800 to $334,600.