Staff AI Platform Engineer - Remote

Neara

San Francisco (CA)

On-site

USD 182,000 - 273,600

Full time

14 days+

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Benefits offered by this job

Flexible Time Off
Paid Holidays
Health Benefits
401(k) match
Stock Options
Wellness Subsidy
Paid Family Leave

Job summary

Invoca is seeking a Staff AI Platform Engineer to help build the core AI platform powering development and deployment of AI capabilities across product teams. This is a platform engineering role focused on reusable primitives, APIs, and governance.

You will design scalable APIs, SDKs, and services, improve observability and reliability, and shape technical direction for AI platform adoption. Remote-first role with multiple US locations and competitive compensation.

Qualifications

  • 7+ years of professional experience in platform engineering for AI/ML systems.
  • Experience with agent orchestration, model-serving abstractions, evaluation systems, or retrieval infrastructure.
  • Strong design sense for platform APIs, SDKs, and developer tooling.
  • Familiarity with Kubernetes, Terraform and containerized environments.

Responsibilities

  • Architect the AI platform foundations: core libraries, APIs, and shared services.
  • Build reusable platform primitives for orchestration, retrieval, tooling, and governance.
  • Own the evaluation platform with CI/CD, datasets, and scoring pipelines.
  • Standardize context management, prompts, and governance to enable safe AI development.
  • Drive technical strategy and platform adoption across teams.

Skills

Python
TypeScript
Distributed systems
APIs
Developer tooling
Platform engineering

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Kubernetes
Docker
Terraform

Job description

Invoca is seeking a Staff AI Platform Engineer to help build the core AI platform powering development and deployment of AI capabilities across product teams. This is a platform engineering role focused on reusable primitives, APIs, and governance.

You will design scalable APIs, SDKs, and services, improve observability and reliability, and shape technical direction for AI platform adoption. Remote-first role with multiple US locations and competitive compensation.

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