Stypi (Acquired by Salesforce)
Sr. Software Engineer - AI Agents
Stypi (Acquired by Salesforce), San Francisco, California, United States, 94199
Lead Member of Technical Staff - Agent Engineering
We are looking for a highly skilled and experienced Lead Member of Technical Staff to join our Agent Engineering team. In this role, you will be responsible for leading the design, development, and deployment of advanced AI agents for Agentforce, focusing on the intersection of AI, RAG (Retrieval-Augmented Generation), LLMs, and multi-agent systems. Responsibilities: Lead the end-to-end design, development, and deployment of intelligent agents and agentic systems for Agentforce using AI, LLMs, and RAG techniques. Help drive the technical roadmap for agent development at Salesforce, with a focus on generative AI services, pipelines, and components. Research, evaluate, and integrate the latest LLM algorithms and technologies into our agent solutions. Develop and implement robust RAG pipelines to enhance the accuracy, relevance, and contextual understanding of our agents, including robust mechanisms for citations. Design, develop, and integrate guardrails for large language models (LLMs) to ensure responsible and ethical behavior of AI agents. Design and build frameworks for agent orchestration, communication, and collaboration within a multi-agent environment. Foster a culture of technical excellence and continuous learning. Participate actively in the end-to-end AI product development lifecycle, from ideation to deployment and post-launch optimization. Collaborate closely with product managers, researchers, AI Platform Engineers, and other Software Engineers to define requirements, design solutions, and develop reusable workflows and ML pipelines for Agentforce. Contribute to code reviews, ensure code quality, and promote best practices in software development. Troubleshoot and resolve complex technical issues related to agent performance, scalability, and reliability. Stay up-to-date with industry trends and emerging technologies in AI and agent systems. Required Skills and Experience: 8+ years of professional software development experience, with at least 1+ years focused on AI/ML applications and building AI systems and/or services. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related STEM field. Deep expertise in Artificial Intelligence (AI) principles. Proven experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and deployment strategies. Strong practical experience with Retrieval-Augmented Generation (RAG) systems, including vector databases, indexing, retrieval algorithms, and knowledge graph integration. Proficiency in programming languages such as Python (preferred) or Java. Solid understanding of cloud platforms (AWS, Azure, GCP) and experience with deploying AI/ML models at scale. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks. Experience with MLOps practices. Demonstrated ability to lead technical initiatives, drive innovation, and mentor other engineers. Excellent problem-solving, analytical, and communication skills. Desired Skills and Experience: Familiarity with Salesforce platform technologies and APIs. Experience in natural language understanding (NLU) and natural language generation (NLG). Extensive experience in designing, developing, and deploying intelligent agents and multi-agent systems. Experience with the implementation of citations and guardrails. Why Salesforce? Work on cutting-edge AI technologies that are transforming industries, specifically for our Agentforce initiative. Collaborate with a world-class team of engineers and researchers. Opportunity to make a significant impact on our products and customers. Continuous learning and development opportunities. Competitive compensation and benefits package. 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. 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. For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.
We are looking for a highly skilled and experienced Lead Member of Technical Staff to join our Agent Engineering team. In this role, you will be responsible for leading the design, development, and deployment of advanced AI agents for Agentforce, focusing on the intersection of AI, RAG (Retrieval-Augmented Generation), LLMs, and multi-agent systems. Responsibilities: Lead the end-to-end design, development, and deployment of intelligent agents and agentic systems for Agentforce using AI, LLMs, and RAG techniques. Help drive the technical roadmap for agent development at Salesforce, with a focus on generative AI services, pipelines, and components. Research, evaluate, and integrate the latest LLM algorithms and technologies into our agent solutions. Develop and implement robust RAG pipelines to enhance the accuracy, relevance, and contextual understanding of our agents, including robust mechanisms for citations. Design, develop, and integrate guardrails for large language models (LLMs) to ensure responsible and ethical behavior of AI agents. Design and build frameworks for agent orchestration, communication, and collaboration within a multi-agent environment. Foster a culture of technical excellence and continuous learning. Participate actively in the end-to-end AI product development lifecycle, from ideation to deployment and post-launch optimization. Collaborate closely with product managers, researchers, AI Platform Engineers, and other Software Engineers to define requirements, design solutions, and develop reusable workflows and ML pipelines for Agentforce. Contribute to code reviews, ensure code quality, and promote best practices in software development. Troubleshoot and resolve complex technical issues related to agent performance, scalability, and reliability. Stay up-to-date with industry trends and emerging technologies in AI and agent systems. Required Skills and Experience: 8+ years of professional software development experience, with at least 1+ years focused on AI/ML applications and building AI systems and/or services. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related STEM field. Deep expertise in Artificial Intelligence (AI) principles. Proven experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and deployment strategies. Strong practical experience with Retrieval-Augmented Generation (RAG) systems, including vector databases, indexing, retrieval algorithms, and knowledge graph integration. Proficiency in programming languages such as Python (preferred) or Java. Solid understanding of cloud platforms (AWS, Azure, GCP) and experience with deploying AI/ML models at scale. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks. Experience with MLOps practices. Demonstrated ability to lead technical initiatives, drive innovation, and mentor other engineers. Excellent problem-solving, analytical, and communication skills. Desired Skills and Experience: Familiarity with Salesforce platform technologies and APIs. Experience in natural language understanding (NLU) and natural language generation (NLG). Extensive experience in designing, developing, and deploying intelligent agents and multi-agent systems. Experience with the implementation of citations and guardrails. Why Salesforce? Work on cutting-edge AI technologies that are transforming industries, specifically for our Agentforce initiative. Collaborate with a world-class team of engineers and researchers. Opportunity to make a significant impact on our products and customers. Continuous learning and development opportunities. Competitive compensation and benefits package. 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. 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. For California-based roles, the base salary hiring range for this position is $200,800 to $276,100.