AI Deployment Engineer — Partner Integrations (Hybrid)

United States Digital Space LLC

San Francisco (CA)

Hybrid

USD 150,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance
Hybrid work model

Job summary

United States Digital Space LLC in San Francisco is seeking an AI Deployment Engineer to design, build, validate, launch, and operate agent enablement integrations across web apps, APIs, CLIs, and developer tools. This hands-on, partner-facing role spans architecture, coding, and cross-functional collaboration to deliver secure, production-ready solutions.

You will lead technical engagements, write code, evaluate architectures, and guide rollout while aligning with product, design, security, and

Qualifications

  • 4–6 years of professional software or AI engineering experience.
  • Experience in customer/partner-facing scoping, MVPs, and solution trade-offs.
  • Production full-stack products, APIs, backend services, developer platforms, or integrations.
  • Strong understanding of plugins/connectors with coding agents and MCP servers.
  • Ability to translate partner feedback into crisp technical plans and product improvements.

Responsibilities

  • Own the technical partner journey for priority agent enablement integrations—from use-case selection through architecture, prototype, implementation, evaluation, launch, rollout, and maintenance.
  • Help partners choose and implement the right integration path across browser sign-in, OAuth, and account linking, with clear user journeys and safe fallback behavior.
  • Write production and sample code, build reference implementations, test harnesses, and create technical guidance and checklists.
  • Debug identity and agent workflows end to end: UI state, redirects, PKCE/OIDC, token exchange, account mapping, and logs.

Skills

Full-stack coding
OAuth/OIDC
Partner-facing
API contracts
Prototype & architecture
Technical leadership
Observability/incident

Job description

United States Digital Space LLC in San Francisco is seeking an AI Deployment Engineer to design, build, validate, launch, and operate agent enablement integrations across web apps, APIs, CLIs, and developer tools. This hands-on, partner-facing role spans architecture, coding, and cross-functional collaboration to deliver secure, production-ready solutions.

You will lead technical engagements, write code, evaluate architectures, and guide rollout while aligning with product, design, security, and

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