Offer summary

Qualifications:

Pursuing or completed a Bachelor's or Master's in Computer Science, AI, Data Science, or related fields., Interest or experience in ChatGPT, LLM APIs, and prompt design., Familiarity with Python, FastAPI, and modern backend development., Comfortable with Git, basic cloud deployment (AWS/GCP), and containers like Docker..

Key responsibilities:

Work on product initiatives using AI technologies like multi-agent systems and prompt engineering.

Develop and deploy applications interfacing with LLMs using FastAPI.

Design and test advanced prompts for classification, summarization, and reasoning.

Build RAG pipelines and automate workflows to solve real business problems with AI.

Job description

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

We only consider your application if you 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 [email protected].

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.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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