Principal AI Full Stack Engineer 181797

This role is ideal for a hands-on Principal Engineer who thrives at the intersection of AI, data engineering, cloud architecture, and product innovation. Successful candidates will possess the technical depth to architect and build complex solutions while also working closely with business stakeholders to translate emerging AI capabilities into practical applications.

Example Use Cases

Representative initiatives may include developing AI-powered capabilities that improve advisor effectiveness and client engagement, such as:

• Automated meeting preparation and research
  

• Intelligent call summarization and insight generation
  

• Automated follow-up and workflow orchestration
  

• Knowledge retrieval and recommendation systems
  

• AI-assisted decision support and productivity tools
  

• Workflow automation leveraging enterprise data sources and communication channels
  

The Skills You Bring

• Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years of experience.
  
• Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.
  
• Strong experience using LLMs and Generative AI technologies to solve real business challenges
  
• Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.
  
• Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.
  
• Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.
  
• Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.
  
• Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.
  
• Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.
  

Ultimately, I need a hands-on Principal Engineer who combines GenAI/LLM expertise, modern data engineering, and cloud architecture skills to identify business problems and deliver production AI solutions that improve advisor productivity, automate workflows, and create measurable business outcomes.