Software Engineer (SWE/SWE II), AI Platform- Slack

Salesforce•Austin, TX

10d•Hybrid

About The Position

Salesforce is seeking Software Engineers to join the AI Platform effort and build the developer experience that powers AI at Slack. In this role, you will treat internal engineers as your primary customers, designing and building tooling, SDKs, and evaluation frameworks that enable product teams to ship AI features faster and more reliably. You will work closely with ML Infrastructure, modeling, and product teams to make informed decisions around open source versus managed solutions, improve the usability and reliability of our AI platforms, and accelerate the adoption of AI across Slack.

Requirements

Experience building developer tooling, libraries, or CI CD pipelines that improve engineering speed, quality, and usability
Experience operationalizing Large Language Models (LLMs) and building integrations with first party APIs and external cloud provider APIs such as AWS, GCP, or Azure
Experience with AI quality evaluation frameworks, prompt engineering infrastructure, or developer tooling for ML workflows
Strong proficiency in Python, PHP or Hacklang and experience with infrastructure as code and modern software engineering practices
Ability to communicate complex technical concepts clearly and effectively to a broad range of stakeholders
Love to model modern methodologies for unit tests, code review, design documentation, debugging, and troubleshooting.
Are curious, inquisitive, and determined to fix things when they break.
Work well with a team of diverse backgrounds and experience on complicated projects.
A related technical degree required
A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Responsibilities

Drive the evolution of Slack’s AI and ML platform toward a self service, developer friendly environment that improves velocity and reliability
Build and maintain SDKs, feature generation tools, and CI CD pipelines that make it easy for product teams to integrate AI into their workflows
Manage and evolve integrations with managed AI services across multiple cloud providers
Design and operate AI quality evaluation frameworks and prompt engineering infrastructure to ensure AI features meet high standards for reliability and user experience
Collaborate closely with ML modeling, AI quality, and product engineering teams to design platforms that meet evolving technical and business needs
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance