AI Middleware Engineer

Unify Consulting • San Francisco, CA

1d • $140,000 - $190,000

About The Position

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.
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.
Location Requirement
Candidates must currently reside in the Greater San Francisco, Greater Seattle, Greater Chicago, or DFW metro areas. Relocation (now or in the future) is not supported for this role.

Requirements

• 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

Nice To Haves

• Experience with Portkey or other AI gateway platformsExperience
• with vector databases and RAG architectures
• Background in event‑driven or distributed architectures

Responsibilities

• 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
• help shape how AI agents are safely deployed in real enterprise environments

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed