Senior Software Engineering - Salesforce ECommerce Agent

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Overview

You'll join a critical and innovative Salesforce Commerce project, advancing online shopping into the realm of agentic commerce . As an ML engineer, you'll work at the intersection of large-scale backend systems and machine learning applications. This role emphasizes integration with the ML ecosystem-leveraging models, embeddings, retrieval pipelines, and inference services-but is not primarily focused on model development. You will design and build systems that make intelligent use of ML functionality and ensure that MLenabled features are reliable, performant, and seamlessly integrated with core services.

Strong awareness of ML concepts (such as model lifecycle, training / inference trade-offs, and evaluation principles) is essential, as your work will ensure that the end-to-end agentic shopping platform functions seamlessly and scales effectively. You will frequently collaborate with ML research and ML platform teams to integrate, deploy, and monitor intelligent systems that enhance the shopper experience.

We value a start-up mentality-people who learn fast, innovate quickly, and leverage both Salesforce and industry tools for rapid iteration.

Your Impact

You will help shape this high-impact project from its earliest version to commercial success, driving industry innovation in agentic shopping. By continuously learning and adapting as new design patterns for LLM-enabled products emerge, you'll play a key role in setting the direction for next-generation machine learning-driven shopping experiences.

Responsibilities

Apply solid architectural principles to ensure sound ML implementations and general software engineering excellence.

Demonstrate autonomy in defining project milestones and executing endtoend delivery with minimal oversight.

Mentor and guide junior engineers, fostering technical growth and collaboration.

Work closely with product managers to advise on technically feasible approaches to achieving product objectives and longterm goals.

Stay intellectually curious and maintain awareness of emerging technologies and innovations relevant to ML systems, commerce, and largescale backend design.

Required Skills

Bachelor's degree in a related technical field.

5+ years of professional software development experience.

Deep knowledge of object-oriented programming and extensive experience with Java and Python

Strong understanding of microservices architecture and REST API development

Experience with relational databases (SQL, PL / SQL, schema design).

Understanding of web technologies : JavaScript, CSS, HTML5, XML, TypeScript, JSON.

Hands-on experience with automated testing frameworks.

Strong collaboration skills and a growth mindset.

Preferred Skills

Experience with model training and tuning

Proficiency in at least one web framework (NodeJS, React, Angular, etc.).

Proven track record of being a top performer

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

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 : 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 $172,000 to $236,500.