AI Platform Engineer — Developer Tools & ML Infra

Slack; Austin (TX); On-site; USD 117,000 - 224,000; Full time

Job summary

Salesforce’s Slack AI team is seeking Software Engineers to join the AI Platform, building developer tooling, SDKs, and evaluation frameworks that power AI features across Slack. You will partner with ML Infrastructure, modeling, and product teams to ship reliable, scalable AI capabilities.

Key focus areas include self-service developer experiences, CI/CD pipelines, and integrations with managed AI services across cloud providers, with an emphasis on high quality, performance, and safety.

Qualifications

• Experience building developer tooling, libraries, or CI CD pipelines to improve speed, quality, and usability.
• Experience operationalizing Large Language Models (LLMs) and integrating with AWS, GCP, or Azure.
• Experience with AI quality evaluation frameworks, prompt engineering infrastructure, or ML workflow tooling.
• Strong Python, PHP or Hacklang and IaC practices.
• Ability to communicate complex concepts to a broad audience.
• Commitment to testing, code reviews, and robust design.

Responsibilities

• Drive evolution of Slack’s AI/ML platform toward self-service, developer-friendly environment.
• Build and maintain SDKs, tooling, and CI/CD pipelines for AI integration.
• Manage integrations with managed AI services across cloud providers.
• Design AI quality evaluation frameworks and prompt engineering infrastructure.
• Collaborate with ML modeling, AI quality, and product teams to meet evolving needs.

Skills

Developer tooling

LLMs

Python

Cloud integrations

Education

Related technical degree

Tools

Kubernetes

KubeRay

vLLM

Job description

Salesforce’s Slack AI team is seeking Software Engineers to join the AI Platform, building developer tooling, SDKs, and evaluation frameworks that power AI features across Slack. You will partner with ML Infrastructure, modeling, and product teams to ship reliable, scalable AI capabilities.

Key focus areas include self-service developer experiences, CI/CD pipelines, and integrations with managed AI services across cloud providers, with an emphasis on high quality, performance, and safety.