Staff ML Engineer, Applied AI

DescriptionWhat You’ll Do • Design and implement LLM-powered features using models like Gemini, LLaMA, or lighter BERT variants • Build and optimize RAG (Retrieval-Augmented Generation) pipelines, vector stores, and embedding systems. • Fine-tune or adapt foundation models using PEFT techniques to meet the needs of use cases. • Define and conduct evaluations, address losses, deploy and monitor LLM applications in production. • Collaborate cross-functionally with product, infra, and domain teams to ship end-to-end solutions. • Influence technical decisions and roadmap. Guide junior team members • Stay current with new developments in the LLM technical landscape and help us productionize new capabilities quickly and safely. Requirements • 5+ years of hands on experience in ML with 3+ years of experience as an NLP Engineer • Strong hands-on experience in developing and deploying applications using a LLM using common tuning methods. • High proficiency in Python and deep learning libraries • Experience deploying and monitoring ML systems in production • Strong product sense and interest in solving customer-facing problems.” • Collaboration, initiative and motivation to handle ambiguity and progress with design and implementation. Bonus Points • Fine-tune or adapt foundation models using PEFT techniques to meet the needs of use cases. • Background in one or more of: NLU/NLG, document understanding, knowledge graphs, or multimodal learning. • Experience in orchestration frameworks such as LangGraph • Experience with Voice AI • Experience as technical lead of an ML team.