Senior AI Software Engineer

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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 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. This includes building citations and guardrails for LLMs. 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 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 individuals with a collaborative attitude and openness to others' ideas.

The Role

You will play a critical role in integrating generative AI, building citations and guardrails for LLMs 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:

• 3+ years of industry experience in ML engineering, 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, 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.
• Expertise in applying LLMs, prompt design, and fine-tuning methods.
• Excellent problem-solving skills; the ability to tackle problems the world has yet to solve.

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.
• Experience with conversational AI.
• Strong written and verbal communication skills.
• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.

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 $102,200 - $253,000 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $111,500 - $276,100 annually.

The range represents base salary only, and does not include company bonus, incentive for sales rol