Senior/Lead/Principal Software Engineer - Generative AI

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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.

Salesforce is seeking a passionated 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 to self coordinate
• 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, such as the Atlas-Trust foundation, 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, and digging deep into code
• 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.

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