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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.
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About Salesforce
Salesforce is a global leader in customer relationship management (CRM), pioneering innovative technologies to help businesses connect with their customers in entirely new ways. At the forefront of AI-driven solutions, we are looking for passionate professionals to join our team in shaping the next generation of intelligent tools and applications.
If you are passionate about Large Language Models and excited to shape the future of AI-driven innovation, we'd love to hear from you!
Position Overview
As an Engineer with expertise in using Large Language Models (LLMs) and Prompt Engineering, you will drive innovation by designing, fine-tuning, and optimizing the use of LLMs for a variety of enterprise use cases. You will work at the intersection of research and practical implementation, developing state-of-the-art solutions to transform how organizations leverage AI in their workflows.
This role demands a strong foundation in engineering, data science, natural language processing (NLP), and prompt engineering, with a focus on extracting the maximum potential from LLMs. You will collaborate across interdisciplinary teams to integrate cutting-edge AI technologies into Salesforce's product ecosystem.
Key Responsibilities
Backend Development:
- Design, implement, and tune robust APIs and API framework-related features that perform and scale in a multi-tenant environment
- Design and develop generic, customer-facing objects that promote both ease of use and customization.
Prompt Engineering and Optimization:
- Design and experiment with creative prompts to optimize the performance of LLMs for specific use cases, ensuring accuracy, relevance, and efficiency.
- Implement techniques like few-shot learning, chain-of-thought prompting, and context tuning to enhance LLM outcomes.
LLM Prompt Fine-Tuning:
- Use pre-trained LLMs (e.g., GPT, Llama, Falcon) for Salesforce-specific applications using prompt engineering and reinforcement learning from human feedback (RLHF).
- Build and maintain datasets for training, fine-tuning, and evaluation of LLMs for various use cases.
AI Model Evaluation and Deployment:
- Develop metrics and tools to evaluate model performance, reliability, and fairness.
- Deploy LLM prompts into production systems, ensuring scalability, security, and efficiency.
Collaboration and Research:
- Collaborate with product managers, engineers, and designers to identify and implement AI-driven solutions.
- Stay at the forefront of LLM research and emerging technologies to recommend and integrate advancements into Salesforce's AI strategy.
- Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available
Data Science and Insights:
- Analyze large-scale datasets to uncover patterns, insights, and opportunities for AI applications.
- Ensure data quality, security, and compliance with industry standards.
- Required Qualifications
Educational Background:
- Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Technical Skills:
- Strong expertise in LLMs/MLMs (e.g., GPT, BERT, T5, Llama) and prompt engineering techniques.
- 5+ years of professional software development experience
- High proficiency in Java programming language
- Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit
- Experience in REST-based API development, API lifecycle management and/or client SDKs development
- Solid understanding of both relational and non-relational databases.
Problem Solving and Communication:
- Ability to translate business needs into AI solutions and communicate complex technical ideas to non-technical stakeholders.
- Proven experience working in cross-functional teams to deliver impactful results.
- Ability to effectively communicate and execute with geographically distributed teams.
- Experience in a fast-paced technical environment with changing priorities
- Ability to develop and ship products in quick increments across multiple versions
Preferred Qualifications
- Experience with reinforcement learning techniques such as RLHF.
- Knowledge of model interpretability, bias mitigation, and ethical AI practices.
- Proficiency in Python and popular ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
- Prior experience in building AI solutions for enterprise software or SaaS platforms.
- Contributions to open-source NLP or AI projects.
- Data Science Expertise:
- Strong background in NLP, ML, deep learning, and/or data preprocessing techniques.
- Experience with tools for data annotation, curation, and augmentation.
What We Offer
- Opportunity to work with world-class talent and cutting-edge AI technologies.
- Competitive compensation package, including benefits, stock options, and performance-based bonuses.
- Flexible work arrangements, including remote work options.
- A collaborative and inclusive workplace culture that encourages innovation and growth.
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.
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 $172,000 to $276,100.
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.