Eloquent AI Fellowship Program
Eloquentai · San Francisco
About this role
## Eloquent AI Fellowship Program ### Overview At **Eloquent AI**, we’re building the next generation of **AI Operators**—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes beyond chat: it can **see, read, click, type, and make decisions**, transforming how work gets done in **regulated, high-stakes environments**. The **Eloquent AI Fellowship** is a **12-week, hands-on** program designed for **STEM PhDs, post-docs, and early-career AI researchers** transitioning into **applied AI**. You’ll work alongside AI engineers, product managers, and researchers, gaining exposure to **AI model development, MLOps, and conversational AI systems**. You’ll also have the opportunity to collaborate with **Prof. Aldo Lipani (co-founder)** on research involving **fine-tuning, evaluation methods, and simulators for LLMs**. --- ### Program Structure (12 Weeks) **AI Engineering (6 weeks)** - Train, fine-tune, and deploy AI agents for enterprise-grade conversations - Hands-on work with **LLMs, RAG pipelines, prompt engineering, and inference optimization** **AI Product Development (4 weeks)** - Collaborate with AI product teams to design, iterate, and integrate AI solutions into enterprise applications - Learn how to bridge cutting-edge research with real-world impact **Industry Applications & Capstone (2 weeks)** - Apply your learning in a real-world AI project with Eloquent AI product, engineering, and research teams - Work on enterprise challenges with mentorship from top AI practitioners - Includes access to industry resources such as **AI speaker series, hands-on workshops, and networking** --- ### What You’ll Do - Develop and deploy **AI-powered agents** using **LLMs, RAG, and enterprise automation workflows** - Gain hands-on experience in **AI infrastructure** (LLMOps, MLOps, cloud deployment, model optimization) - Build **full-stack AI applications** with engineers and PMs - Translate AI research into practical applications (language models, embeddings, retrieval techniques) - Work directly with Eloquent AI leadership --- ### Requirements - Open to **postdocs**, **current or recently graduated PhDs**, and **MSc students** in STEM fields with strong interest in AI applications - **Current or completed PhD or MSc** in Computer Science, Engineering, Mathematics, Physics, or related field - Strong mathematical foundation (especially **statistics, linear algebra, optimization**) - Programming experience (ideally **Python**), familiarity with **PyTorch** and/or **TensorFlow** - Interest in **AI product development, data science, or machine learning engineering** - Ability to thrive in a fast-paced, collaborative environment --- ### Bonus Points If… - Experience with **LLMs, NLP, or Retrieval-Augmented Generation (RAG)** - Open-source contributions or published research in AI/ML conferences (e.g., **NeurIPS, ICML, ICLR, NLP, SIGIR**) - Hands-on experience with **LLMOps, MLOps, cloud AI infrastructure, or deployment at scale** - Experience with **AI strategy, product management, or business applications of AI**
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