AI Scientist Intern – AI Agents & Automation

February 20, 2026
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Job Description

AI Scientist Intern – AI Agents & Automation

We are a dynamic company participating in the MIT accelerator program and a key member of the OpenAI testing team. Our mission is to develop AI-first SaaS platforms and AI-powered Chrome extensions that enhance productivity and learning experiences for users.

This is a non-paid internship, with a performance review at the end for potential consideration for a paid position. Only apply if you are genuinely interested in a non-paid internship.

We are a UK business with headquarters in San Francisco, operating from 9 am to 5 pm Pacific Time.

What You’ll Work On

Your primary focus will be on the cutting-edge AI stack and agent pipeline, moving beyond generic web development. You will play a crucial role in designing, building, and improving:

  • Autonomous AI Agents:
    • Design multi-step agents capable of planning, utilizing tools/APIs, and reporting comprehensive results.
    • Implement sophisticated agent workflows that seamlessly integrate across our SaaS application and Chrome extensions.
  • AI Pipelines & Orchestration:
    • Develop robust Python services and workers for orchestrating agents, including managing queues, retries, logging, and monitoring.
    • Integrate agents with our backend infrastructure (Node.js/Express, Firebase, webhooks, events).
  • RAG (Retrieval Augmented Generation) & Data Pipelines:
    • Construct and maintain RAG databases/buckets sourced from diverse user content and web data.
    • Design efficient data models and pipelines to ensure clean and traceable knowledge retrieval.
  • LLMs, Prompts & Algorithms:
    • Work extensively on prompt I/O, tool/function calling mechanisms, and iterative evaluation loops.
    • Experiment with advanced AI algorithms, fine-tuning strategies, and Large Concept Models (extending beyond traditional LLMs).
  • Product Integration:
    • Expose agent tools and endpoints for consumption by our React/TypeScript web application and Chrome extensions.
    • Collaborate closely with the frontend team to enable real-time user interaction and control over agents.

You’ll Collaborate On

  • Mapping intricate user workflows to efficient agent workflows (involving events, triggers, webhooks, and queues).
  • Designing comprehensive agent observability frameworks (including traces, logs, and analytics for performance monitoring).
  • Implementing RAG integrations and fundamental NLP/LLM tasks, with guidance from our experienced AI team.
  • Connecting agents to various third-party APIs (e.g., AI APIs, Stripe, Firebase) as integral tools.

Minimum Qualifications

While you are not expected to be an expert in every area, you must possess a hands-on attitude and a strong capacity for rapid learning.

  • Solid project experience in Python (preferably in AI, data, or backend scripting).
  • Experience with at least one of the following:
    • Building AI Agents, RAG pipelines, or AI APIs.
  • Comfortable reading/writing TypeScript or JavaScript and basic Node.js/Express.
  • Basic understanding of data modeling, data pipelines, or analytics.
  • Proficient with Git/GitHub and debugging tools like Chrome DevTools.
  • Fluent English (speaking & writing) and strong, proactive communication skills.

Nice to Have (Big Plus)

  • Built or contributed to AI Agents (e.g., LangChain, LangGraph, MCP, tool calling, or similar frameworks).
  • Experience with:
    • Building Chrome extensions.
    • RAG databases/buckets (vector stores, retrieval pipelines).
    • Fine-tuning or experimenting with LLMs/Large Concept Models.
    • Firebase Realtime DB or Cloud Firestore.
    • Cloud platforms (AWS, GCP, Firebase functions).
  • Worked on:
    • SaaS web applications.
    • Stripe API (billing, webhooks).
    • Testing (Jest) and performance profiling.

Internship Details

  • Type: Internship (full-time or ~30 hrs/week part-time during school term).
  • Location: Remote.
  • Core Stack:
    • AI: Python, AI APIs, AI Agents, RAG, data pipelines.
    • Backend: Node.js, Express, Firebase/Firestore, Stripe.
    • Frontend: React, TypeScript, Chrome Extension APIs.
  • Ownership: You will ship real agent features to production, contributing beyond mere toy demos.

Include These Answers in Your Application

  • Are you fluent in speaking and understanding English?
  • How long have you worked with each? (Put 0 if none.)
    • Building Chrome extensions
    • Data Modeling
    • Data Architecture
    • Developed and maintained multiple databases (data pipelines) for seamless data flow across a platform
    • Data Analytics
    • Firebase Real-time DB
    • Cloud Firestore
    • AWS
    • Google GCP
    • Fine Tuning
    • Data Mining
    • Building SaaS Web Applications
    • Building AI Agents
    • Building and implementing RAG databases / buckets
    • Writing AI Algorithms
    • Worked with Large Concept Models (not to be confused with LLM Large Language Models)
    • AI APIs
    • Python
    • TypeScript
    • SaaS Web Applications
    • Stripe API
    • Jest
    • Express.js
    • Node.js