Visiting Engineer: Enterprise Agent Infrastructure

Builds AI agent infrastructure for enterprise internal systems, including secure connectors to databases/APIs, natural language task orchestration, authentication layers, and monitoring behind firewalls. Requires strong backend skills, LLM agent experience, and enterprise security knowledge for a 12-week onsite residency.

About the job

What you'll build

An agent framework that can securely connect to internal databases, REST/GraphQL APIs, and legacy system interfaces behind corporate firewalls.
A task orchestration layer that lets non-technical operators define multi-step workflows across internal systems using natural language.
An authentication and access control layer that integrates with enterprise identity providers (SSO, LDAP, RBAC) to enforce existing permission boundaries.
A monitoring and audit system that logs every agent action for compliance and debugging.

What you'll do

Design the core agent architecture for operating in constrained network environments where cloud-first assumptions break down.
Build connectors for common enterprise data sources: SQL databases, internal APIs, file shares, legacy mainframe interfaces.
Develop a natural language task definition layer that translates operator intent into safe, auditable multi-step agent actions.
Implement security primitives: credential vaulting, least-privilege execution, action sandboxing, and rollback capabilities.
Work with enterprise design partners to validate the agent framework against real internal tooling pain points.

What you need

Strong backend engineering skills. You have built and shipped production systems that handle real data at real scale.
Deep experience with enterprise infrastructure: databases, APIs, authentication systems, networking constraints.
Hands-on experience building with LLMs, particularly agentic architectures, tool use, and function calling.
Understanding of security and compliance requirements in enterprise environments.
Ability to work autonomously and make product and architecture decisions without waiting for direction.

Helpful but not required

Experience with MCP (Model Context Protocol) or similar tool-use frameworks for AI agents.
Experience building internal developer platforms or internal tooling at scale.
Background in systems integration, middleware, or ETL pipeline development.
Founder or founding engineer experience building infrastructure products.

Compensation

$10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside.