Software Development Engineer -AI/Agentic Systems

Equinix • Redwood City, CA

5d • $186,000 - $280,000 • Onsite

About The Position

The Senior Requirements Engineer for AI Agents & Agentic Workflows is a critical role within the Developer Experience Program (EDP), responsible for defining and shaping the requirements for Equinix's most forward-looking developer productivity investments. You will own the requirements for an agentic execution framework, Claude Code platform integration, an AI Agent Registry, and a low-code agent build platform. This role sits at the intersection of developer experience, AI/ML platform engineering, and product strategy. You will translate ambiguous, high-impact goals — like reducing PR cycle time by 50% and achieving a 50% developer productivity gain — into precise, actionable requirements that engineering teams can build against. You will work and partner closely with platform engineering, compliance, governance, and AI platform teams.

Requirements

• Strong proficiency in one or more backend languages — Go, Python, Java, or TypeScript — with demonstrable experience building event-driven or distributed systems in production
• Hands-on experience building with LLM APIs and agentic frameworks: LangChain, LangGraph, AutoGen, CrewAI, Amazon Bedrock Agents, or equivalents
• Experience integrating with GitHub APIs, GitHub Actions, and CI/CD pipeline systems — building bots, automation workflows, or developer tooling on top of these platforms
• Practical knowledge of event streaming and messaging systems: Kafka, EventBridge, RabbitMQ, or equivalents — able to design reliable, observable event-driven pipelines
• Experience building and consuming REST and GraphQL APIs; comfortable designing service contracts and integration schemas
• Familiarity with workflow orchestration platforms such as Temporal, n8n.io, Prefect, or similar
• Understanding of developer portal frameworks, particularly Backstage — able to build and publish plugins that surface agentic capabilities in the developer experience layer
• Solid grasp of security patterns relevant to agent systems: non-human identity, scoped permissions, secrets management, least-privilege execution, and audit trails
• Experience with containerized workloads and Kubernetes — able to deploy, operate, and scale agent services in a cloud-native environment
• Proficiency with observability tooling: structured logging, metrics instrumentation (Prometheus/Grafana), and distributed tracing (OpenTelemetry)

Nice To Haves

• 7+ years of software engineering experience, with at least 2 years focused on platform engineering, developer tooling, or AI/ML systems in a production environment
• Demonstrated experience shipping agentic or LLM-powered systems at scale — not just prototypes, but production services with reliability, governance, and observability requirements
• Strong track record of building internal developer platforms, developer portals, or self-service tooling used by large engineering organizations
• Experience working in large, matrixed engineering environments — comfortable navigating dependencies across security, platform, compliance, and application engineering teams
• Ability to operate with autonomy on ambiguous, greenfield engineering challenges where the patterns are still being defined
• Strong written and verbal communication skills — able to document architecture decisions, write clear technical specs, and engage productively with product and business stakeholders
• Bachelor's degree in Computer Science, Engineering, or a related field; equivalent practical experience accepted

Responsibilities

• Design and build the Agentic Execution Framework: event bus integration, agent scaffolding, human-in-the-loop approval queues, retry and error handling, and end-to-end execution traceability
• Implement Claude Code platform-native integrations: CI failure triage agent, PR assist agent, unit test generation agent, and the "what should I work on?" developer portal surface
• Build and maintain the AI Agent Registry: catalog service, agent metadata schema, discovery APIs, trust boundary enforcement, versioning, and lifecycle management
• Develop the Agent Build Platform: a low-code, UI graph-based workflow builder that enables developers without deep agentic knowledge to compose and deploy production-ready agentic workflows
• Implement agent integration connectors into delivery pipelines, incident management systems, and policy enforcement layers to automate manual handoffs and reduce developer toil
• Build scoped permission models, execution isolation environments, audit logging, and human-in-the-loop guardrails to ensure agents operate safely within enterprise governance boundaries
• Instrument all agentic systems with observability hooks — logs, metrics, traces — and integrate with the unified observability platform
• Write clean, well-tested, production-grade code with high coverage; own your services from development through deployment and on-call
• Participate in architecture design reviews, contribute to engineering standards, and help define patterns that other teams can follow when building agentic systems
• Continuously measure impact against developer productivity metrics — PR cycle time, time to first commit, deployment frequency — and iterate based on data

Benefits

• Employee Assistance Program
• Health insurance
• Life insurance
• Disability insurance
• Voluntary plans
• Retirement plan contributions
• Paid Time Off (PTO)
• Paid Holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior