
AI Engineer Intern at FocusKPI. Location Information: United States - Remote. . 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 . [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.. .