Senior/Lead Software Engineer - Agentforce

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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.

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 Communic