Agentic AI Systems Engineer Intern | AI Agents & Automation

About WalletGyde

WalletGyde is building a Financial AI platform designed to help people better understand, manage, and improve their finances through trustworthy and explainable AI.

As our product and internal AI infrastructure continue to mature, we are also exploring how agentic AI can improve the way our team operates internally. This includes AI project management, engineering coordination, workflow automation, human approval systems, and controlled multi agent workflows.

We are looking for an Agentic AI Systems Engineer Intern who is excited about building and debugging real AI agent infrastructure rather than only experimenting with prompts.

About the Role

You will help WalletGyde advance an internal agentic AI initiative focused on creating a secure, observable, and human controlled AI project management and engineering coordination system.

WalletGyde already has an existing multi agent foundation containing defined roles for technical coordination, software development, QA, and project management. Your responsibility will be to help reproduce, deploy, integrate, debug, and expand this architecture.

You will work closely with an existing automation team member who has already begun the project, while taking deeper ownership of the more technical implementation work involving runtime deployment, APIs, authentication, agent configuration, webhooks, service integration, and multi agent communication.

This is a strong opportunity for someone interested in the emerging field of Agentic AI Engineering and who wants hands on experience building systems where AI agents interact with real tools, workflows, and people.

What You Will Work OnAgent Runtime & Infrastructure

• Help deploy and maintain an OpenClaw based agent environment
• Configure and reproduce existing agent definitions, skills, identities, and workflows
• Debug runtime, dependency, configuration, and deployment issues
• Work with environment variables, secrets, logs, persistent state, and service health
• Help ensure agent environments are reproducible and properly documented

APIs & Agent Integration

• Build and test authenticated HTTP API connections between AI agents and external systems
• Define request and response payloads for agent workflows
• Work with REST APIs, JSON, webhooks, authentication, and service integration
• Help create stable interfaces that allow workflow systems to securely invoke AI agents

n8n & Workflow Automation

• Integrate deployed AI agents with n8n workflows
• Support HTTP Request nodes, webhooks, authentication, retries, and error handling
• Help create workflows where AI agents can analyze tasks, recommend actions, and return structured results
• Maintain human approval checkpoints before consequential actions

Multi Agent Systems

Help progressively validate workflows involving specialized agents such as:

Tech Lead Agent → Developer Agent → QA Agent → Technical Verification → Human Review

The initial goal is not unrestricted autonomy.

We want to build a controlled system where specialized AI agents can collaborate while humans retain authority over important decisions.

Tool & Platform Integration

Potential systems may include:

• GitHub
• Trello
• Discord
• n8n
• OpenClaw
• Replit or other cloud deployment environments
• LLM and model APIs
• Internal WalletGyde systems

Security & Observability

Work with our security team to help implement:

• Secure credential handling
• Agent authentication
• Permission boundaries
• Human approval controls
• Audit logs
• Agent activity tracing
• Failure handling
• Least privilege access
• Safe tool execution

What We Are Looking For

We are looking for someone who is technically curious, resourceful, and comfortable solving problems that may not yet have a documented answer.

Strong candidates may have experience with several of the following:

• Python and or TypeScript
• REST APIs
• JSON
• Webhooks
• Git and GitHub
• LLM APIs
• Tool calling
• Agent frameworks
• MCP concepts
• n8n, Zapier, Make, or similar automation platforms
• Docker or containerized applications
• Cloud deployment environments
• Environment variables and secrets
• Logging and debugging
• Databases
• Backend development
• Authentication and authorization

You do not need previous OpenClaw experience.

Experience with LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP, or other agent frameworks is also relevant.

The Type of Engineer We Want

The strongest candidate will not simply…