AI Middleware Engineer

We're supporting a client as they build the middleware layer that connects AI agents to enterprise systems. This role focuses on designing and operating MCP-style servers (Model Context Protocol or equivalent) that expose secure, governed, and reusable tools for agent-driven workflows.

You'll be doing senior-level, hands-on engineering work, including:

• Designing and building MCP-compliant servers and tool schemas
• Integrating enterprise SaaS platforms such as Salesforce, SAP, and ServiceNow
• Building tool abstraction layers and orchestration logic for AI agents
• Implementing context and state management across agent workflows
• Integrating with AI gateways (e.g., Portkey or similar)
• Ensuring security, governance, and compliance across integrations
• Adding observability and reliability mechanisms to support production use

This is client-facing work where you'll help shape how AI agents are safely deployed in real enterprise environments.

• Strong backend engineering experience (Python and/or Node.js)
• Solid API design skills, including JSON schemas and async patterns
• Experience integrating with enterprise SaaS APIs
• Familiarity with AI agent frameworks and agent-driven workflows
• Working knowledge of OAuth2 and API security concepts
• Management consulting experience, * Experience with Portkey or other AI gateway platforms
• Experience with vector databases and RAG architectures
• Background in event-driven or distributed architectures

Unify is an AI management consulting firm that partners with leading organizations to design, build, and scale practical AI solutions. We work hands-on with our clients to solve real business problems at the intersection of data, technology, and AI - moving beyond experimentation to production-ready systems.