SMTS/LMTS/PMTS AI Software Developer

6 hours ago

Palo Alto CA United States salesforce.com, inc. Full time

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 Category: Software Engineering

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.

SMTS/LMTS/PMTS AI Software Developer

About Hyperforce Developer Experience Engineering
Hyperforce Developer Experience is a team dedicated to enhancing developer productivity and experience by leveraging generative AI. We're focused on revolutionizing software development by delivering best-in-class products and ensuring high customer trust at cloud scale. By providing cutting-edge AI-powered tools and solutions, we aim to exceed customer expectations and establish a strong reputation for excellence.

We are looking for talented AI Software Engineers to join our team and build a cutting-edge AI platform to enhance developer productivity, offering features like advanced code generation, intelligent code completion, and automated testing. The ideal candidate will have a strong foundation in machine learning, deep learning, and software engineering. You'll work on state-of-the-art AI models, optimize infrastructure for scalability, and collaborate with cross-functional teams to deliver innovative solutions. Join us in shaping the future of software development and making a significant impact on developer productivity.

The key objectives of this team are:

  • Accelerate Development: Reduce development time and effort through automated code generation and intelligent suggestions.
  • Improve Code Quality: Enhance code accuracy, readability, and maintainability with AI-powered tools.
  • Foster Innovation: Empower developers to explore new ideas and experiment with cutting-edge technologies.
  • Streamline Workflows: Automate repetitive tasks and streamline the development process.
  • Enhance Data-Driven Insights: Gather, refine, and analyze data to optimize AI models and measure their impact.
  • Create User-Friendly Interfaces: Design intuitive and user-friendly interfaces for AI-powered tools.
  • Build a Unified IDE Plugin: Deliver a single, powerful plugin for both internal and external Salesforce developers.
  • Advanced Code Generation: Empower developers with features like auto-completion, code generation, and unit test generation.
  • Scalable Infrastructure: Build a robust infrastructure to handle massive workloads and support a growing user base.
  • Cutting-Edge AI: Continuously innovate and explore advanced AI techniques to improve the quality and relevance of code suggestions.

Responsibilities:

  • Design and implement algorithms for planning and generating code suggestions that meet user requirements.
  • Develop and maintain a knowledge graph of coding concepts, relationships, and patterns to inform code generation.
  • Develop and maintain data retrieval mechanisms to fetch relevant code snippets, APIs, and documentation from various sources.
  • Ensure data freshness, accuracy, and relevance to support code generation.
  • Design and implement code generation algorithms using AI/ML techniques (e.g., sequence-to-sequence, language models) to produce high-quality code suggestions.
  • Optimize code generation for various programming languages, frameworks, and use cases.
  • Develop and maintain post-processing pipelines to refine generated code, including syntax checking, formatting, and optimization.
  • Ensure generated code meets coding standards, best practices, and user preferences.
  • Integrate code suggestions with IDEs (e.g., VSCode, IntelliJ, Visual Studio) and PR systems (e.g., GitHub, GitLab) to provide seamless user experiences.
  • Develop and maintain APIs and SDKs for integrating code suggestions with various platforms and tools.
  • Design and implement prompt engineering techniques to support declarative prompts, enabling users to specify requirements and constraints for code generation.
  • Develop and maintain a library of prompts and templates for various use cases and programming languages.
  • Develop and maintain AI-powered features in the IDE for autocomplete and Chat leveraging Agentic workflows.
  • Hands-on working experience with IntelliJ, Visual Studio Code, PYCharm, Eclipse, or equivalent IDE Plugin development across different programming languages.
  • Design, implement, and maintain robust metrics frameworks to capture key user interactions and product usage data within GenAI products.
  • Collaborate with engineers to ensure efficient and accurate data collection across various GenAI systems.
  • Analyze data and generate insights using statistical analysis and machine learning.
  • Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available.
  • Create and enforce processes that ensure quality of work, and drive engineering excellence.
  • Exhibit a customer-first mentality while making decisions, and be responsible and accountable for the output of the team.

Core Qualifications:

  • BS, MS, or PhD in computer science or a related field, or equivalent work experience.
  • At least 3+ years of experience in AI/ML engineering, with a focus on natural language processing (NLP) and code generation.
  • Experience with large-scale AI/ML projects, including data preparation, model training, and deployment.
  • Proficiency in programming languages such as Python, Java, Typescript, or Golang.
  • Experience with AI/ML frameworks and libraries, including TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of NLP techniques, including language models, sequence-to-sequence models, and prompt engineering.
  • Familiarity with code generation techniques, including program synthesis and code completion.
  • Experience with data storage solutions, including relational databases and NoSQL databases.
  • Knowledge of software development principles, including design patterns, testing, and version control.
  • Strong analytical skills with expertise in statistical modeling and machine learning techniques (e.g., regression analysis, classification, clustering).
  • Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams (engineering, product management).
  • Ability to work in a fast-paced environment, with a focus on delivering high-quality results under tight deadlines.
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