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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.
Job Responsibility:
Drive the adoption of Large Language Models and agentic flows to drive process efficiencies, automation, simplification, and risk reduction across enterprise business solutions
Drive and contribute to the technical direction of our products and services
Instill engineering best practices into the team
Promote cultural change across the organization
Work with various technology teams to push the adoption of Generative AI technologies and agentic flows across enterprise-wide applications and processes
Develop partnerships with third party providers to validate and adopt best-of-breed solutions
Contribute to both engineering and research
Take a product-focused approach and build solutions that are robust, scalable, and easy to use
Work in a fast-paced environment tackling cutting-edge problems by constantly testing and learning
Pair programming for our products
Deliver fast, iterating and pivot as you go
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 language, 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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