
Design voice flows, implement agentic architecture, optimize LLM efficiency, collaborate on diverse use cases.
Join Peakflo, a trailblazer in finance operations automation, and play a pivotal role in shaping the future of financial AI. As an ML Engineer Intern, you will collaborate with our dynamic team to develop cutting-edge solutions that streamline customer collections and vendor payments. Our environment fosters intellectual curiosity, problem-solving, and ownership, providing unparalleled support and mentorship.
Your tasks include crafting voice-optimized prompt flows for natural speech patterns, implementing agentic architecture, refining prompts for performance QA, and optimizing overall LLM system efficiency. You will also integrate RAG systems with financial APIs to ensure accurate and contextually relevant outputs. Additionally, you will collaborate closely with engineering teams to architect and integrate LLM systems across diverse use cases.
We seek a highly motivated intern with 0.5-2 years of industry experience in ML, statistics, or LLM fine-tuning. A strong background in Python programming, cloud platforms like Google Cloud, and version control is essential. Passion for AI and its potential to transform businesses is key to this role.