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Applied AI Workflow Engineer Intern

(Strong performers may transition into full-time founding team roles)

About OCBridge / Hiring Copilot

OCBridge is an AI-native recruiting platform based in Silicon Valley.

We help high-growth startups and technology companies hire interview-ready talent through AI-executed sourcing workflows combined with human-in-the-loop recruiting operations.

Our platform, Hiring Copilot, is built around a simple idea:

AI should not just assist recruiters.
It should execute recruiting workflows.

We are building a new hiring architecture that combines LLM agents, workflow automation, proprietary talent data, and real operational feedback loops to deliver hiring outcomes at speed and scale.

This is an early-stage, fast-moving environment working directly with founders, operators, recruiters, and AI tooling.

Role Overview

We are looking for an Applied AI Workflow Engineer Intern to work directly with our GRO leaders, Virtual Sourcers, and founding team to understand real recruiting workflows, identify repetitive manual operations, and build AI-powered internal automation tools.

This is not a traditional software engineering internship.

You will spend time observing how real sourcing and recruiting operations work day to day, breaking down workflows into operational logic, identifying automation opportunities, and rapidly prototyping LLM-agent-powered workflow automations that improve speed, productivity, and candidate quality.

You will work on real production workflows used internally by the team.

This role is ideal for highly driven builders who enjoy moving fast, learning rapidly, and operating in a scrappy startup environment.

What You’ll Do

Shadow GRO leaders and Virtual Sourcers to understand day-to-day recruiting workflows
Analyze repetitive manual sourcing and recruiting operations
Break workflows into structured operational steps and business logic
Identify automation opportunities across sourcing, outreach, candidate evaluation, research, workflow management, and internal operations
Build internal AI tools and LLM-agent-powered workflow automations
Prototype quickly using Python and modern AI coding tools
Work closely with founders, recruiters, operators, and internal automation workflows
Improve recruiter productivity, speed, and operational efficiency through automation
Document workflows, tooling logic, and automation systems for internal use

What We’re Looking For

Strong interest in AI agents, workflow automation, and applied AI systems
Highly curious and excited to understand real business workflows
Comfortable working in ambiguity and fast-moving startup environments
Strong ownership mindset and self-driven execution
Scrappy builder mentality with strong problem-solving ability
Fast learner who can quickly pick up new tools and frameworks
Comfortable experimenting and iterating rapidly
Strong communication and collaboration skills
Willingness to work closely with operations teams, not just independently coding

Technical Background

We care more about your ability to learn fast and build real systems than traditional algorithm interview performance.

Helpful experience includes:

Python
APIs and automation tools
LLM tools and prompting
AI coding tools such as Cursor, ChatGPT, Claude, or Codex
Browser automation
Internal tool building
Workflow orchestration
Data processing or scripting

Bonus experience:

OpenAI APIs
Playwright
FastAPI
LangChain
MCP
Selenium
Zapier, Make, or n8n
AI agents or workflow automation projects
Experience building side projects quickly

Who Thrives Here

Builders who move fast and learn fast
People who naturally go beyond clearly defined tasks
Individuals who enjoy figuring things out without waiting for instructions
Highly ambitious self-starters who care about outcomes
People excited about working closely with a scrappy founding team
Individuals who enjoy building real AI systems under real business constraints

This internship is designed for people who want to build, not just learn.

You will not just observe workflows.
You will help redesign and automate them.

Why Join

Work directly with the founding team
Build real AI systems used in production workflows
Gain hands-on experience with LLM agents and workflow automation
Operate in a highly practical AI-native environment
Learn how AI transforms real operational systems
Opportunity to grow into future founding engineering, AI operations, or applied AI roles