Letters › 7819c023-abf1-4a36-b94b-70d1a563f8b2
AI Application Engineer - AI Products (LLM & RAG)
Chedy Chaaben — Machine Learning Reply · english · 2026-09-17 22:12
Addressed to
Machine Learning Reply
The letter
Dear Hiring Manager,
I am applying for the AI Application Engineer - AI Products (LLM & RAG) role at Machine Learning Reply, a company that builds and deploys AI-powered applications and digital products for enterprise clients. The company's focus on utilizing Python, modern backend frameworks, and cloud platforms such as AWS, Azure, or GCP aligns with my experience and skills. Machine Learning Reply's work in the AI and machine learning industry is something I am interested in, particularly the development of applications using AI, machine learning, or generative AI technologies.
The company's use of Retrieval-Augmented Generation (RAG) and vector databases is also of interest to me, as I have experience building autonomous systems with 100% web interface processing, utilizing Python, FastAPI, and computer vision. My experience as an AI Engineer Intern at KPIT Technologies, where I developed an autonomous setup handling 100% of web interfaces with AI agents, has given me a strong foundation in building applications using AI and machine learning technologies. I am confident that my skills and experience would be a valuable asset to the team at Machine Learning Reply.
I am seeking an AI application engineering role that utilizes cloud platforms, backend development, and AI technologies, and I am available to relocate to Berlin for this position. With my recent graduation and experience in data engineering, natural language processing, and machine learning, I am ready to start my career as an AI Application Engineer. I am looking for a company that will allow me to design solutions that replace manual work with reliable, orchestrated, and secure automated systems, and I believe that Machine Learning Reply is the right fit for me. I am asking to be considered for this role and to discuss how my skills and experience align with the company's needs.
Sincerely,
Chedy Chaaben