We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

AI Engineer Intern at FocusKPI. Location Information: USA. 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..  . Experience Requirements. Entry Level