AI Engineer Intern

About the role

Location: Remote | Hours: 20–40/week | Rate: $30/hour | Growth & Equity Potential

About Incepta

Incepta is an AI implementation firm that builds custom solutions for independent insurance agencies and launches products when we spot high-impact opportunities. We turn real-world business inefficiencies into AI agents that deliver real value.

We’re not looking for just another intern—and you’re not here for busywork. We want prodigies: builders who’ve shipped side projects, won hackathons, or built AI agents from scratch. If you’ve built ambitious projects, shipped code that matters, or taught yourself to build AI agents, you’ll fit right in. You know how to move aggressively, learn fast, and take responsibility. Here, you’ll build agents for real customers—not just shadow someone else’s work.

This isn't a run-of-the-mill internship; it's a launchpad for future technical leaders. You'll architect end-to-end AI agents, work alongside cracked engineers, and drive solutions from concept to deployment. Stand out, and you'll earn a permanent role with real equity as we scale together.

At Incepta, we don't just experiment with AI—we automate complex workflows, replace manual processes, and build scalable, production-ready solutions. If you want to build something real, thrive on challenging technical problems, and solve cutting-edge AI development challenges, we want to hear from you.

Role & Responsibilities

Design & ship AI agents end‑to‑end—from spec to production deployment

Orchestrate LLM pipelines (GPT‑4o, o1-preview, Claude 3.5 Sonnet, Gemini 2.0) with LangChain/LangGraph and vector search

Integrate APIs (OpenAI, Anthropic, custom services) with proper auth, error handling, and logging

Build lightweight UIs with React + Tailwind enabling users to trigger and monitor agents

Deploy & scale on serverless platforms; optimize for speed, accuracy, and cost

Implement function calling & tool use for agent-environment interactions via Model Context Protocol (MCP)

Build computer vision pipelines for document processing (PDF parsing, OCR, structured data extraction)

Monitor & iterate with performance tracking and weekly improvements

Required Skills

(Applicants must meet ALL criteria to be considered)

Enrollment: Currently pursuing Master's or PhD in Computer Science, AI, or related technical field

Programming: Proficient in Python or JavaScript (Node.js)

Prompt Engineering: Near-native English proficiency; get models to follow complex instructions and handle open-ended tasks

LLM APIs: Hands-on experience with OpenAI APIs (GPT-4 family, o1-preview, Function-Calling, Vision, Realtime API)

Multimodal AI: Experience with additional LLM providers (Anthropic Claude, Google Gemini)

RAG Implementation: Hands-on experience with retrieval-augmented generation, vector search, and document processing pipelines

Function Calling & Tool Use: Built agents that interact with external APIs, databases, and services

Serverless Deployment: Deploy code on AWS Lambda, GCP Functions, Azure Functions, or Firebase

Data Systems: Experience with SQL/NoSQL databases and vector databases (Pinecone, ChromaDB, FAISS)

Full-Stack Integration: Connect backend AI logic with frontend interfaces

Agent Frameworks: Experience with LangChain, LangGraph, LlamaIndex, or similar orchestration tools

Bonus Skills

(Nice to have, not required)

Computer Vision Integration: Combining vision models with LLMs for document/image analysis

Model Context Protocol (MCP): Structured agent-environment interaction protocols

Real-time AI Systems: Streaming, WebSocket, or low-latency AI applications

Containerization: Docker and basic Kubernetes

React/Vue: Building dashboards and chat interfaces

SaaS Scaling: Taking prototypes to production-ready systems

AI Safety: Responsible AI principles and data privacy practices

Skills

Python · Node.js · TypeScript · REST/GraphQL APIs · LLM APIs (GPT-4o, o1-preview, Claude 3.5, Gemini) · Function Calling & Tool Use · RAG Implementation · LangChain/LangGraph/LlamaIndex · Model Context Protocol (MCP) · Computer Vision/Document Processing · AWS Lambda · GCP Cloud Functions · Azure Functions · Full‑Stack (React + Vite) · SQL & NoSQL · Vector Databases (Pinecone/ChromaDB/FAISS) · Multi-agent Orchestration · Docker · CI/CD · Prompt Engineering

Posting text as published by Incepta.

The evidence behind this listing

Workplace

Remote Employer field

Seniority

intern From the job title

Employment type

internship

Location as listed

Remote, US

Pay and work authorization

Stated pay

$30/hr Employer field

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established