Staff Software Engineer – AI Enablement

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me 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 ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’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. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/ .

ID.me 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 ID.me, 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 .

Role Overview

ID.me 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.

Please note: 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.

Responsibilities

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 LangGraph 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 Systems: Implement high-availability orchestration patterns using Redis for state management, Kafka for event streaming, and custom Dead Letter Queue (DLQ) bridges for message reliability.

Establish AI Guardrails & Governance: Apply prompt engineering best practices, reduce model hallucinations, and enforce strict logging and safety standards so sensitive platform data is never exposed to external models.

Observability & Health Monitoring: Instrument microservices telemetry using sidecar patterns, data streams, and automated health checks to feed internal Datadog dashboards.

Technical Leadership & Mentorship: Coach mid-level and senior engineers, lead architectural design reviews, and establish engineering standards for AI agents and platform systems.

Measure & Optimize DevEx: Define and monitor key DevEx metrics (e.g., onboarding time, deployment success rates, task automation velocity) to continuously drive developer productivity.

Minimum Qualifications

Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field.

8+ years of professional software engineering experience developing backend systems, distributed architectures, or core platform tools.

2+ years of experience operating explicitly at a Staff or Principal engineering scope.

Demonstrated technical leadership: Must have formal experience mentoring 2+ engineers, leading architecture review processes, or acting as the primary technical lead for a multi-engineer project team.

Strong hands-on coding skills in modern programming languages such as Java, Python, or Go.

Deep experience in microservices architecture, RESTful web services, and event-driven architectures.

Preferred Qualifications

AI Agents & LLM Orchestration: Hands-on experience building agentic workflows, multi-agent systems, and LLM integrations using LangGraph, AWS Bedrock, OpenAI API, and Anthropic API.

Infrastructure as Code (Terraform): Extensive, practical experience specifically using Terraform for cloud provisioning, state management, and scalable infrastructure deployment.

Domain Abstractions: Experience developing Domain-Specific Languages (DSL), Finite State Machines (FSM), and dynamic agent routing algorithms.

Data & State Infrastructure: Strong experience with Redis, Kafka, PostgreSQL, NoSQL databases, and streaming platforms.

Platform Infrastructure: Practical experience with containerization (Docker, Kubernetes) and cloud deployment on AWS.

System Resilience: Experience implementing reliability patterns such as Dead Letter Queues (DLQs), sidecar monitoring, automated secret management, and self-healing mechanisms.

Collaboration & Influence: Proven ability to mentor engineers, influence architectural choices, and partner across cross-functional product and security teams.

The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.

ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development