salesforce
Senior/Lead/Principal Software Engineer - Generative AI
salesforce, Palo Alto, California, United States, 94306
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceWe’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.Salesforce is seeking a passionate and highly skilled Software Engineer to join our team in developing an advanced Generative AI platform. The ideal candidate will have deep expertise in Python, algorithm design, large-scale backend development, and experience in machine learning, with a particular focus on Generative AI technologies. This position requires a passion for building innovative AI products and the ability to operate in a fast-paced, dynamic environment.
Your Impact:Own and drive development tasks such as coding and feature verifications as part of release commitments.Proactive in highlighting issues and resolving them as quickly as possible.Daily participation in stand-ups.Participating in self-coordinating as part of the delivery team.Providing technical guidance to colleagues.Vocally advocating for technical excellence and collaborating to help the team make good decisions.Translating architecture into technical planning and execution.
Key Responsibilities:Algorithm Development and Prototyping:
Develop components of the platform’s Generative AI capabilities, with a focus on Retrieval-Augmented Generation (RAG) systems, Agentic workflows, and other state-of-the-art generative techniques. Design and implement advanced algorithms to enable innovative AI features in the platform. Rapidly build prototypes to experiment with new algorithms, techniques, and open-source technologies.System Design and Performance Optimization:
Build and optimize large-scale backend systems, taking throughput and latency into account. Apply performance optimization techniques, including parallel processing, stream processing, and asynchronous I/O to improve the efficiency and scalability of the platform.Code Review and Refactoring:
Write clean, modular, and maintainable code. Read and digest existing codebases, perform code reviews, and refactor code to improve modularity, performance, and maintainability.Implement Evaluation and Diagnostics tools:
Implement evaluation, logging, and tracing mechanisms to facilitate debugging, diagnostics, and performance tracking of the platform.Demo Development:
Develop demos to showcase new features and the latest product innovations to collaborators and potential customers.Troubleshooting:
Figuring out ways to find the bug using top-notch troubleshooting techniques and all the tools and systems available within the R&D organization.Testing:
Identifying root causes, proposing test cases and fixes, and developing new debugging tools while working closely with product teams.
Required Skills & Qualifications:Strong Python Programming Expertise:
Proficiency in Python, with extensive experience in algorithm design and the ability to evaluate different algorithmic approaches for optimal performance.Algorithm & Data Structures:
Strong foundation in algorithm design and data structures, with an ability to defend choices, articulate design decisions, and remain open to alternative approaches.Code Quality & Refactoring:
A keen sense of code quality and a commitment to writing clean, maintainable, and modular code. Experience refactoring existing codebases to improve modularity and performance.Backend System Development:
Experience building large-scale backend systems with a focus on performance, scalability, and low latency. Familiarity with performance optimization techniques such as parallel and stream processing, as well as asynchronous I/O.Generative AI Experience (Preferred):
Experience with Generative AI technologies, including RAG systems, Agentic workflows, or open-source frameworks such as LangChain and LlamaIndex, is a strong plus.
Benefits & Perks:
Check out our
benefits site
which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.Salesforce Information:
Check out our
Salesforce Engineering Site .Accommodations:If you require assistance due to a disability applying for open positions please submit a request via this
Accommodations Request Form .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.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 welcomes all.
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Your Impact:Own and drive development tasks such as coding and feature verifications as part of release commitments.Proactive in highlighting issues and resolving them as quickly as possible.Daily participation in stand-ups.Participating in self-coordinating as part of the delivery team.Providing technical guidance to colleagues.Vocally advocating for technical excellence and collaborating to help the team make good decisions.Translating architecture into technical planning and execution.
Key Responsibilities:Algorithm Development and Prototyping:
Develop components of the platform’s Generative AI capabilities, with a focus on Retrieval-Augmented Generation (RAG) systems, Agentic workflows, and other state-of-the-art generative techniques. Design and implement advanced algorithms to enable innovative AI features in the platform. Rapidly build prototypes to experiment with new algorithms, techniques, and open-source technologies.System Design and Performance Optimization:
Build and optimize large-scale backend systems, taking throughput and latency into account. Apply performance optimization techniques, including parallel processing, stream processing, and asynchronous I/O to improve the efficiency and scalability of the platform.Code Review and Refactoring:
Write clean, modular, and maintainable code. Read and digest existing codebases, perform code reviews, and refactor code to improve modularity, performance, and maintainability.Implement Evaluation and Diagnostics tools:
Implement evaluation, logging, and tracing mechanisms to facilitate debugging, diagnostics, and performance tracking of the platform.Demo Development:
Develop demos to showcase new features and the latest product innovations to collaborators and potential customers.Troubleshooting:
Figuring out ways to find the bug using top-notch troubleshooting techniques and all the tools and systems available within the R&D organization.Testing:
Identifying root causes, proposing test cases and fixes, and developing new debugging tools while working closely with product teams.
Required Skills & Qualifications:Strong Python Programming Expertise:
Proficiency in Python, with extensive experience in algorithm design and the ability to evaluate different algorithmic approaches for optimal performance.Algorithm & Data Structures:
Strong foundation in algorithm design and data structures, with an ability to defend choices, articulate design decisions, and remain open to alternative approaches.Code Quality & Refactoring:
A keen sense of code quality and a commitment to writing clean, maintainable, and modular code. Experience refactoring existing codebases to improve modularity and performance.Backend System Development:
Experience building large-scale backend systems with a focus on performance, scalability, and low latency. Familiarity with performance optimization techniques such as parallel and stream processing, as well as asynchronous I/O.Generative AI Experience (Preferred):
Experience with Generative AI technologies, including RAG systems, Agentic workflows, or open-source frameworks such as LangChain and LlamaIndex, is a strong plus.
Benefits & Perks:
Check out our
benefits site
which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.Salesforce Information:
Check out our
Salesforce Engineering Site .Accommodations:If you require assistance due to a disability applying for open positions please submit a request via this
Accommodations Request Form .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.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 welcomes all.
#J-18808-Ljbffr