Staff Software Engineer, AI Systems
Dolby Laboratories1 day ago
Responsibilities
- Define the architecture, standards, integration patterns, credential management practices, and data access models for shared AI infrastructure.
- Build foundational data and integration layers, business-system integrations, MCP server and API connections, and shared hosting infrastructure.
- Develop scheduled automations, event-driven workflows, AI-powered workflows, web applications, headless services, and agentic flows.
- Work with business stakeholders to refine requirements and acceptance criteria, then own solution delivery from build through iteration.
- Collaborate with Product Engineering on shared infrastructure, systems integration, and platform capabilities.
- Establish technical standards for secure, observable, operable, and reusable AI systems across the organization.
- Maintain shared repositories of prompts, agents, skills, and workflows and help business teams deploy AI solutions.
Requirements
- 5+ years building production software, including applications, APIs, backend services, platform infrastructure, or data integrations.
- Demonstrated use of AI-assisted development tools such as Devin, Claude, Codex, or Cursor as part of engineering delivery.
- Experience making architectural decisions, setting technical standards, and influencing how an engineering organization builds.
- Strong Python or TypeScript/Node.js skills and the ability to learn additional technologies as needed.
- Experience building tool-use integrations for AI systems; MCP or similar protocols and frameworks are strongly preferred.
- Experience integrating SaaS APIs using REST, webhooks, and OAuth.
- Hands-on experience with LLM APIs and agentic frameworks, including production agents or AI-powered workflows.
- Ability to work with business stakeholders on requirements, acceptance criteria, and translating business intent into software.
- Experience collaborating across product and platform engineering teams.
- Understanding of data classification, access controls, API credentials, compliance requirements, and risk management.
- Preferred experience with federated data layers, shared integration infrastructure, or multi-system data pipelines.
- Preferred familiarity with SaaS business systems used in revenue, support, or customer success operations.
- Preferred background in Customer Success, RevOps, or B2B SaaS.
- Preferred experience incorporating security, compliance, data classification, and risk assessment into AI-powered systems and automations.
Tech Stack
Categories
About Dolby Laboratories
Dolby Laboratories develops audio, imaging, and voice technologies—such as Dolby Atmos and Dolby Vision—licensed to device makers, streaming platforms, game studios, and cinemas. The NYSE-listed company (ticker: DLB), founded in 1965 and headquartered in San Francisco, also provides software and hardware for content creation and playback, generating revenue primarily from technology licensing and cinema products used in theaters worldwide.