Staff Software Engineer – AI Enablement

Staff Software Engineer – AI Enablement

Mountain View, California, United States

is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with  once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with  at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations.

More than 600+ consumer brands use  to verify communities and user segments to honor service and build more authentic relationships. 's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative.  is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.

is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA;
Mountain View, CA;
New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings.

At , we embrace the thoughtful use of AI tools in our daily work and there are even occasions where we leverage AI in our hiring process. However, during the interview process, we want to understand your individual skills and experiences. Therefore, we have guidelines on how AI can be appropriately used during your application and interviews which can be found here.

is seeking a Staff Software Engineer (SDE V – Developer Experience & AI Platform) to lead the technical design, architecture, and execution of our internal developer platform and AI-driven automation infrastructure. In this role, you will be responsible for building key developer tools, multi-agent workflows, and LLM orchestration systems that strictly target internal engineering workflows (e.g., service scaffolding, CI/CD automation, and developer-facing tooling) to empower engineering teams to build, deploy, and operate services efficiently at scale.

This role is focused entirely on internal developer experience. Experience building customer-facing conversational bots, chat products, or member-support automation does not substitute for internal platform and infrastructure engineering experience. This role is onsite 5 days a week in Mountain View, California.

This position sits at the intersection of platform engineering, developer experience, and artificial intelligence. You will lead hands-on development, establish architectural patterns, build stateful AI agent workflows, and set AI safety guardrails across the engineering organization. You will partner closely with SRE, security, and core infrastructure teams to create an integrated, high-velocity development ecosystem.

This role is based out of our Mountain View, CA or McLean, VA office and requires full-time in-office attendance. Remote and hybrid candidates will not be considered. Relocation assistance and visa sponsorship are not offered for this role.

• Architect AI-Augmented Developer Tools: Lead the hands-on building of internal developer platforms, service scaffolding, and automated CI/CD tooling that accelerate software delivery. This work explicitly targets internal engineering workflows, rather than customer-facing bots or member-support automation.
• Design Agentic Systems & LLM Orchestration: Build multi-agent automation systems and adaptive conversational flows using frameworks such as Lang Graph and foundation model APIs.
• Develop Workflow Abstractions: Create Domain-Specific Languages (DSLs) and Finite State Machine (FSM) abstractions to model, control, and route complex multi-agent platform tasks.
• Manage Stateful Context: Implement Near Real-Time Memory (NRTM) and shared session management to maintain persistent state and context across developer tools, bots, and internal APIs.
• Build Resilient Distributed…