AI Platform Engineer: Developer Tools & SDKs

Slack

Bellevue (WA)

On-site

USD 117,000 - 224,000

Full time

14 days+

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Job summary

Salesforce Slack AI is seeking Software Engineers to join the AI Platform team. You will design and build developer tooling, SDKs, and evaluation frameworks that empower product teams to ship AI features faster and more reliably.

You will collaborate with ML Infrastructure and product teams to choose between open source and managed solutions, ensuring usability and reliability of AI platforms. You will work on firmware-grade automation and governance for AI quality, while supporting scalable

Qualifications

  • Experience building developer tooling, libraries, or CI CD pipelines.
  • Experience operationalizing LLMs and integrating with AWS, GCP, or Azure.
  • Experience with AI quality evaluation frameworks or prompt engineering infra.
  • Strong proficiency in Python.
  • Ability to communicate complex technical concepts clearly.
  • Experience with unit testing, code review, and debugging practices.
  • Curious, inquisitive and able to fix issues efficiently.
  • Collaborates well with diverse teams on complex projects.
  • Related technical degree is required.

Responsibilities

  • Drive self-service, developer-friendly evolution of Slack AI platform.
  • Build and maintain SDKs, tooling, and CI/CD pipelines for AI features.
  • Manage integrations with cloud providers and external APIs.
  • Design AI quality evaluation frameworks and prompt engineering infra.
  • Collaborate with ML modeling, AI quality, and product teams to balance solutions.

Skills

Developer tooling
LLM integrations
AI quality frameworks
Python
Hacklang
Cloud APIs

Education

Technical degree

Tools

Kubernetes
KubeRay
vLLM
AWS
GCP
Azure
CI/CD

Job description

Salesforce Slack AI is seeking Software Engineers to join the AI Platform team. You will design and build developer tooling, SDKs, and evaluation frameworks that empower product teams to ship AI features faster and more reliably.

You will collaborate with ML Infrastructure and product teams to choose between open source and managed solutions, ensuring usability and reliability of AI platforms. You will work on firmware-grade automation and governance for AI quality, while supporting scalable

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