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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.

30k – 30kMountain View, CABackend EngineeringOnsite

About the role

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.

Skills

LLMsAgentic ArchitecturesTool UseFunction CallingSql DatabasesREST APIsGraphQLSSOLdapRBACMcpEtl Pipelines

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