Intern AI Engineer Intern

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:

• 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.

What is the last date for applying to the job?

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