AI Engineer Intern

Job Description:

Location: Remote in United States (EST Preferred)
Type: Full-Time / Unpaid Trainee Program
Company: FocusKPI

Please submit your resume and a brief cover letter outlining your experience with relevant projects, coursework/work experience, and why you’re interested in this role to danz@focuskpi.com.

Build the Future of AI with Agents & Applied Engineering.

Are you eager to work at the intersection of AI innovation and real-world product development? Our 3-month AI Trainee Program is your gateway to mastering advanced AI techniques—like multi-agent systems, ChatGPT-style prompting, Retrieval-Augmented Generation (RAG)—while sharpening your software engineering skills through hands-on experience and mentorship.

This is more than just a training program—it's a fast track into the next generation of AI development.

About the Program:

You’ll be working on actual product initiatives using the latest advancements in:

• LLM orchestration and agent frameworks (LangGraph, CrewAI, AutoGen)
• Custom GPT-based agents that support use cases like sales intelligence, document processing, and customer insight generation
• Prompt engineering and prompt chaining to optimize LLM behavior and outputs
• Vector databases and RAG pipelines for knowledge retrieval and augmentation
• API design, CI/CD deployment, and scalable infrastructure

We’ll guide you in applying these technologies to real customer use cases, including AI-powered CRM tools, medical device risk automation, and influencer marketing platforms.

Ideal Qualifications:

We welcome candidates with the following background:

• Are pursuing or have completed a Bachelor’s or Master’s in Computer Science, AI, Data Science, or related fields
• Have hands-on experience or strong interest in ChatGPT, LLM APIs, and prompt design
• Are familiar with Python, FastAPI, and modern backend development
• Are comfortable with Git, basic cloud deployment (AWS/GCP), and containers (e.g., Docker)
• Bonus: Experience with Langchain, LangGraph, or vector DBs like Pinecone, Weaviate, or FAISS

Key Learning Opportunities:

• Architect multi-agent systems using frameworks like LangGraph or CrewAI
• Design and test advanced LLM prompts for classification, summarization, reasoning, and task chaining
• Develop and deploy FastAPI applications that interface with LLMs
• Build RAG pipelines that integrate LLMs with vector stores for contextual search
• Automate workflows using tools like n8n or MCP protocol to integrate data across platform
• Create modular, scalable services that solve real business problems using AI

What’s Next After the Program?

Trainees who excel may be invited to a paid internship or long-term opportunity with FocusKPI. This is your chance to break into AI product development and make an impact from Day 1.