Lead Product Engineer

November 13

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Data Society

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Data analytics • E-learning • Data science • Corporate training • Executive training

11 - 50 employees

📚 Education

🤖 Artificial Intelligence

🏢 Enterprise

Description

• Hands-on architect and developer. • Design, build, test, and release key AI-powered services and products focused around learning systems and data platforms. • Implement durable, secure software solutions that will solve critical customer problems in a fast-paced environment. • Look to collaborate and communicate whenever possible. • Work directly with the product team to understand requirements, evaluate trade-offs, and deliver practical, innovative solutions (with a mix of onshore and offshore resources). • Deeply understand the business model and look to accelerate outcomes by collaborating within and across teams. • Lead by practice and example. • Contribute to standards, patterns, and best practices that improve engineering capabilities in performance, security, scalability, operational excellence, and cost management. • Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals, etc.. • Practice and evangelize continuous learning, experimenting, and applying cutting-edge technology and software paradigms to solve customer problems.

Requirements

• 8+ years of experience developing systems/software for complex distributed systems, management products, or business applications. • Experience with at least two of the following areas: Large-scale microservices and distributed systems, Cloud computing and storage systems, Information Retrieval/Search Systems, Machine learning for Search and/or Recommender systems. • Experience with AI infrastructure and applications. • Strong working knowledge and experience applying AI to existing application or building AI native applications with ability to articulate value/limitations, use evaluation tools to measure accuracy, train/tune models, apply tools/techniques. • Experience with AI technologies like SageMaker, Google Vertex AI, LangChain, Large Language Models, Prompt Engineering, DialogFlow. • Proficiency in Python, AWS. • Full-stack development experience with experience in: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) and Back-end technologies like Java, Typescript, Spring, Python, NodeJS/Bun. • BS/MS in a technical field such as Computer Science or equivalent years of experience. • Authorized to work in the US and resides within the continental United States.