Overview
On Site
Full Time
Skills
Leadership
Backend development
Machine Learning (ML)
IMPACT
Software development
UPS
Planning
Art
Artificial intelligence
Prototyping
Systems design
Parallel computing
Code review
Evaluation
ATLAS
Product demonstration
Demonstrations
Research and Development
Testing
ROOT
Test cases
Debugging
Python
Algorithms
Data structure
Articulate
Design
Writing
Code refactoring
FOCUS
Scalability
Performance tuning
Generative Artificial Intelligence (AI)
Workflow
Open source
LangChain
LlamaIndex
Salesforce.com
Job Details
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:
Key Responsibilities:
Required Skills & Qualifications:
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 .
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*
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 .
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.