Staff Software Engineer, AI Systems
Dolby Laboratories1 day ago
Responsibilities
- Define the architecture, standards, and integration patterns for shared AI infrastructure and data layers.
- Establish scalable credential management, data access, security, observability, and operability practices.
- Build and maintain integrations across CRM, billing, support, product usage, and other business systems.
- Configure and manage MCP servers and API connections to internal systems.
- Stand up shared hosting infrastructure for agents, automations, and applications in production environments.
- Develop scheduled automations, event-driven workflows, web applications, headless services, and agentic flows.
- Build AI-powered workflows for customer health monitoring, automated alerts, meeting intelligence, and revenue lifecycle automation.
- Work with business stakeholders to refine requirements, define acceptance criteria, and own solutions end to end.
- Collaborate with Product Engineering on shared infrastructure, systems integration, and platform capabilities.
- Maintain reusable repositories of prompts, agents, skills, and workflows and help business teams deploy AI solutions.
- Set technical standards for how AI systems are built, integrated, and maintained across the organization.
Requirements
- At least 5 years of experience building production software, applications, APIs, backend services, platform infrastructure, or data integrations.
- Demonstrated use of AI-assisted development tools such as Devin, Claude, Codex, Cursor, or similar tools in engineering delivery.
- Experience making architectural decisions, setting technical standards, and influencing engineering practices.
- Strong skills in Python or TypeScript/Node.js, with the ability to learn additional technologies as needed.
- Experience building tool-use integrations for AI systems; familiarity with MCP or similar protocols and frameworks is 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.
- Experience designing federated data layers, shared integration infrastructure, or multi-system data pipelines is a strong plus.
- Familiarity with SaaS business systems used in revenue, support, or customer success operations is a strong plus.
- Background in Customer Success, RevOps, or B2B SaaS is a strong plus.
- Experience incorporating security, compliance, data classification, and risk assessment into AI-powered systems is a strong plus.
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.