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We are seeking an innovative GenAI Engineering Lead to drive the adoption of Large Language Models and agentic flows to drive process efficiencies, automation, simplification, and risk reduction across enterprise business solutions. In this role you will be responsible for driving and contributing to the technical direction of our products and services, instilling engineering best practices into the team, and promoting cultural change across the organization. You will also work with various technology teams to push the adoption of Generative AI technologies and agentic flows, across enterprise-wide applications and processes. Developing partnerships with third party providers to validate and adopt best-of-breed solutions.
Job Responsibility:
Contribute to engineering and research
Take a product-focused approach and build robust and scalable solutions
Work in a fast-paced environment by testing and learning
Pair programming for products
Deliver fast by iterating rather than defining perfect solutions upfront
Develop foundational components and mature technology capabilities in AI and LLMs
Drive adoption across the enterprise
Requirements:
Deep hands-on experience in engineering and executing enterprise solutions that scale
Fluency in at least two programming languages, with preference for Python, Javascript/Typescript, Golang
Pytorch, TensorFlow experience
Understanding of language models, transformers, agentic frameworks
Rich understanding of vector stores and search algorithms
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