[Hiring] AI Engineer Intern @Inceptapartners

Role Description

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.

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.

• 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

Qualifications

• Currently pursuing Master's or PhD in Computer Science, AI, or related technical field
• Proficient in Python or JavaScript (Node.js)
• Near-native English proficiency; get models to follow complex instructions and handle open-ended tasks
• Hands-on experience with OpenAI APIs (GPT-4 family, o1-preview, Function-Calling, Vision, Realtime API)
• Experience with additional LLM providers (Anthropic Claude, Google Gemini)
• Hands-on experience with retrieval-augmented generation, vector search, and document processing pipelines
• Built agents that interact with external APIs, databases, and services
• Deploy code on AWS Lambda, GCP Functions, Azure Functions, or Firebase
• Experience with SQL/NoSQL databases and vector databases (Pinecone, ChromaDB, FAISS)
• Connect backend AI logic with frontend interfaces
• Experience with LangChain, LangGraph, LlamaIndex, or similar orchestration tools

Bonus Skills

• Combining vision models with LLMs for document/image analysis
• Structured agent-environment interaction protocols
• Streaming, WebSocket, or low-latency AI applications
• Docker and basic Kubernetes
• Building dashboards and chat interfaces
• Taking prototypes to production-ready systems
• 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