Senior/Lead AI Engineer (Backend) - AI Integration

cruiting/) FOR OPPORTUNITIES***

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.

Position Overview

As an Industries AI Engineer (Backend) with expertise in GenAI, 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 developing state-of-the-art solutions to transform how organizations leverage AI in their workflows. You will collaborate closely with Industries Application teams & bring their ideas to fruition. This role also involves building tooling that helps Salesforce Industries Application teams.

This role demands a strong foundation in backend 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.

• Test driven development practices as well as CI/CD tools and its usage

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.

AI Model Evaluation and Deployment:

• Deploy LLM prompts into production systems, ensuring scalability, security, and efficiency.

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

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 Python and Java programming language

• Experience in REST-based API development, API lifecycle management and/or client SDKs development

• Solid understanding of both relational and non-relational databases.

• Experience with developer tools such as Git and Jenkins

• Demonstrated experience of working with ReST and thorough understanding of its fundamentals

• Working knowledge of building B2B or B2C SaaS applications using cloud providers such as AWS, GCP, or Azure is desired

• Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, HTTP, JSON, etc.

• Experience with Spring, gRPC, REST and the HTTP protocol

• Experience with Agile development methodology

• Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available

• Office-Flex: work in-person three days per week

Preferred Qualifications

• 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.

#LY-Y

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

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.

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://https://www.salesforcebenefits.com.