Integrations Engineer

Runlayer; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary and equity

Paid time off

Professional development

Top-tier equipment

Health benefits

Customer interaction opportunities

Job summary

Runlayer is seeking an Integrations Engineer to own coverage across AI clients, agent frameworks, and MCP servers. You will design, build, launch, monitor, and debug connectors, ensuring first-class integrations with strong auth, governance, and observability.

You will work with Claude/OpenAI Agents SDKs, LangGraph, and other ADKs, owning reliability, tests, and migrations while collaborating with product and customers to shape the integrations roadmap.

Qualifications

• 5+ years building integrations, SDKs, or developer-platform connectors.
• Expert-level OAuth 2.1 and multi-provider flows.
• Experience with MCP servers or agent frameworks and related transports/schemas.

Responsibilities

• Own end-to-end integrations design, build, launch, monitor, and debug across clients, agent frameworks, and MCP servers.
• Ensure 1st-class integration through auth, policy, and session handling.
• Build OAuth broker service and scaffolding/publishing tooling for new integrations.
• Collaborate with product, partnerships, and customers to grow integrations function.

Skills

Integrations & SDKs

OAuth 2.1

TypeScript

Python

APIs testing

Reliability & monitoring

MCP/agent framework

Catalog management

AI-native workflows

Tools

OAuth tooling

Job description

About Runlayer

AI is transforming how every company operates, but most enterprises are stuck. They want to move fast with AI Agents, tools, and workflows, but they can't do it safely. We're fixing that.

Our team built AI Actions for OpenAI, shipped Zapier Agents to millions of users, and launched the first remote MCP server with Anthropic. We helped establish the protocol, and now we're building the platform enterprises need to actually put MCP to work.

Runlayer is one platform for MCPs, Skills, and Agents: purpose-built security, fine-grained governance, and complete observability so organizations can go all-in on AI across the entire company without the risk. We just raised a $30M Series A led by Felicis, with participation from Khosla Ventures, bringing our total raised to $42M. Already trusted by Gusto, Instacart, Opendoor, dbt Labs, Cursor, and Decagon.

We're a team of 35, mostly engineers, shipping fast. Agent operators on Runlayer grew 5x in four weeks while human operators stayed flat. The shift to agentic work is already showing up in our own usage.

About the Role

As an Integrations Engineer, you'll own Runlayer's coverage surface: making every AI client, agent framework, and MCP server work first-class through the control plane. Coverage is the product, so you'll own integrations end to end, from design and launch through monitoring and debugging, and catch breaks before customers do. This is a hands-on, high-ownership role, and you'll help shape how the integrations function works as it grows.

Why You'll Thrive Here

• Impact: Coverage is the product; you'll make every AI client, agent framework, and MCP server work first-class through Runlayer.
• Excellence: Work alongside engineers who helped establish MCP and ship fast.
• Ownership: Own integrations end to end, from design and launch to monitoring, on-call, and incident response.

What You'll Do

• Own the full lifecycle of integrations: design, build, launch, monitor, and debug connectors across clients, agent frameworks, and MCP servers.
• Make every major AI client (Claude Code, Claude Desktop, Cursor, Codex, Copilot, and the long tail) work first-class through Runlayer, from auth to policy enforcement, hooks, and session extraction.
• Give agents built on any ADK (Claude Agent SDK, OpenAI Agents SDK, LangGraph, Google ADK, and whatever ships next) identity, governance, and observability, including agent accounts and attributing MCP calls to the agents that made them.
• Keep 50+ third-party MCP connectors reliable: catch upstream breaks and auth regressions before customers hit them, and guide admins safely through migrations (URL changes, stdio-to-deploy, forced re-auth, scope changes).
• Own reliability end to end: coverage smoke-tests on every release, monitoring, and fast debugging under real-time customer pressure.
• Build the OAuth broker (the TypeScript/Express service managing OAuth 2.1 flows for third-party servers) and the tooling that scaffolds, validates, and publishes new integrations with little manual work.
• Work cross-functionally with product, partnerships, and customers, and help shape how the integrations function grows.

What We're Looking For

• 5+ years building integrations, SDKs, or developer-platform connectors, with strong opinions on partner API design.
• Expert-level OAuth 2.1: you've implemented authorization servers, token brokers, or complex multi-provider OAuth flows.
• Agent-ecosystem fluency: you've built or operated MCP servers and shipped on at least one agent framework, and can explain transports, tool schemas, and session lifecycle from experience.
• Strong TypeScript and Python.
• You've built integration test suites that run against real third-party APIs with auth.
• An operational mindset: you own systems in production, treat reliability as first-class, and can trace an issue from a customer report through logs and API responses to root cause.
• You've maintained a catalog or marketplace of third-party integrations, with versioning, deprecation, and migration patterns.
• AI-native workflow: you delegate real work to agents daily

Bonus Qualifications

• Contributions to the MCP spec or to an agent framework.
• Experience running or scaling a partner / integrations engineering function.
• Familiarity with enterprise identity (SSO, SCIM) and policy enforcement.

What We Offer

We provide a competitive package designed to attract and retain top talent who can work effectively with enterprise customers.

• Competitive salary and equity — compensation that reflects your expertise and customer-facing responsibilities.
• Paid time off — paid vacation, paid sick leave, and paid parental leave.
• Professional development — budget for conferences, courses, and certifications in AI, enterprise software, and customer success.
• Top-tier equipment — your choice of laptop and accessories to create your ideal work environment.
• Health benefits — comprehensive health, dental, and vision coverage.
• Customer interaction opportunities — work directly with innovative companies and see the immediate impact of your work.