Lead Product Engineer

Summary

Join Data Society Group as a Lead Product Engineer to design, build, test, and release key AI-powered services and products focused around learning systems and data platforms.

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)
• 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

Responsibilities

• 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

Benefits

Travel is mostly regional, and will be 5-20% of your time