SMTS Back End Software Engineer, Agentforce

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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.

Salesforce is looking for a Senior Member of Technical Staff (SMTS) - AI Software Engineer to join the team driving the development and delivery of Agentforce. This role requires a strong backend developer who will play a pivotal role in maintaining our core execution engines, handling complex orchestration, and ultimately building the next generation of intelligent agents.
You will work on impactful generative AI platforms, applications, and products used by millions of people every day, ensuring their stability, security, and future evolution.

The Team

We are a group of Generative AI Application 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 core product developers with a collaborative attitude, strong problem-solving skills, and openness to others’ ideas.

The Role

As an SMTS, your journey will bridge the optimization of our current core systems with the creation of next-generation AI reasoning.

• Phase 1 (Legacy Optimization): You will start by taking ownership of our legacy React Planner. This is a tricky, business-critical system that requires a developer who loves deep-dive problem-solving. Your initial focus will be on driving stability, resolving complex bugs, addressing customer escalations, and implementing critical security fixes. While new feature development will be lighter in this phase, your work will be vital to keeping the platform robust.

• Phase 2 (Next-Gen Evolution): As you master the architecture, you will transition to working on our new reasoner. Here, you will actively build out new reasoning features, integrate generative AI services, design pipelines, and implement citations/guardrails for LLMs.

You will participate in the end-to-end AI product development lifecycle, collaborating with AI Platform Engineers and Software Engineers to develop scalable, reusable workflows.

What You’ll Do

• Maintain, debug, and optimize the legacy React Planner engine, ensuring high availability, security, and rapid resolution of customer issues.
• Transition into designing and building new reasoning features and capabilities for the next-generation Agentforce reasoner.
• 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 production issues.
• Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to bring innovative technologies to production.

Required Skills:
5+ years of industry experience

•  In software engineering, with a proven track record as a core backend product developer (This is a core R&D developer role, not a CCE or FDE position).

• Strong programming skills in Java (the role starts heavily in Java) with a solid understanding of object-oriented design.

• Strong programming skills in Python, with experience or a strong interest in building ML pipelines.

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

• Excellent debugging and triage skills; a passion for digging into legacy codebases to solve complex bugs and security vulnerabilities.

• Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks (e.g., Kafka, Docker, Spark).

• Basic understanding of deep learning, machine learning algorithms, LLMs, and prompt engineering.

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

Preferred Skills:

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

• Experience with conversational AI and fine-tuning methods for LLMs.

• Strong written and verbal communication skills with a track record of driving collaboration across multiple technical teams.

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

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

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.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.