Software Development Engineer -AI/Agentic Systems
AI summary of the role
Senior engineer owning requirements and implementation for Equinix's agentic developer productivity platform, including an agentic execution framework, Claude Code integrations, an AI Agent Registry, and a low-code agent build platform.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design and build the Agentic Execution Framework with event bus integration, agent scaffolding, human-in-the-loop approval queues, and end-to-end traceability
- Implement Claude Code platform-native integrations including CI failure triage, PR assist, unit test generation, and developer portal surfaces
- Build and maintain the AI Agent Registry with catalog service, metadata schema, discovery APIs, trust boundary enforcement, and lifecycle management
- Develop a low-code, UI graph-based Agent Build Platform for composing and deploying production-ready agentic workflows
What you’ll bring
- 7+ years software engineering experience with at least 2 years in platform engineering, developer tooling, or AI/ML systems in production
- Strong proficiency in Go, Python, Java, or TypeScript with experience building event-driven or distributed systems
- Hands-on experience with LLM APIs and agentic frameworks (LangChain, LangGraph, AutoGen, CrewAI, Amazon Bedrock Agents)
- Experience integrating with GitHub APIs, GitHub Actions, and CI/CD pipeline systems
Technologies
Go · Python · Java · TypeScript · LangChain · LangGraph · AutoGen · CrewAI · Amazon Bedrock Agents · Kafka · EventBridge · RabbitMQ
About Equinix
Global colocation and interconnection company operating 260+ data centers (IBX) across 70+ metros, connecting enterprises, networks, and clouds; the largest data-center REIT worldwide.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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 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
More from the job description
Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work. Job Summary 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 tea [... source excerpt omitted ...] nd 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 unif [... source excerpt omitted ...] ntic systems Continuously measure impact against developer productivity metrics — PR cycle time, time to first commit, deployment frequency — and iterate based on data Technical 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 Pract
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