Principal Engineer, GenAI Innovation

• Designs and builds full stack web solutions including both the back end and front end
• Code Review and mentoring of other team members
• Designs / crafts sophisticated scheduled jobs and micro-services defining new patterns and orchestrations
• Designs / implements detailed data storage mechanisms using relational and non-relational data stores
• Explores, creates and configures cloud services using infrastructure as code
• Recommends new cloud services and patterns
• Presents new ideas which improve an existing system/process/service
• Collaborates with team to break down features into user stories and estimate them
• Awareness of technology roadmap
• Updates job knowledge by monitoring and understanding emerging engineering practices
• Continuously learns, builds content, and mentors others in specific subject areas
• Informally coaches and builds into the development of others through mentoring or in-house workshops and learning sessions
• Mentors and develops engineers across functional teams on technology decisions
• Influences technology and policy decisions made at Director+ level across the organization
• Understands financial decisions, including NPV and return on investment, based on customer experience/business drivers
• Develops and integrates Generative AI solutions into full stack applications, using LLMs, APIs, and AI-driven workflows to enhance user experience and automation

• Bachelor's Degree in Computer Science or Engineering
• 7+ years of proven experience in full stack web development
• Technical engineering experience
• Crafting database schemas, writing SQL
• 3+ years of DevOps experience with infrastructure as code
• 4-7 years using cloud services from AWS, Azure, or GCP
• 2+ years of experience working with Generative AI models, APIs
• Experience coaching and mentoring team members
• Knowledge of HTML, CSS, Webpack, JavaScript, at least one front-end framework, and one back-end framework
• Understanding of database modeling and SQL
• Deep understanding of cloud system parameters, configurations
• Experience integrating AI-driven components into full stack applications
• Good understanding of adjacent processes and workflows
• At least 18 years of age
• Legally authorized to work in the United States

Experience integrating AI-driven components, such as chatbots, automated content generation, or recommendation systems, into full stack applications

• Competitive base salary and compensation package
• Annual stock grant
• Employee stock purchase plan
• 401(k)
• Access to free, year-round money coaches
• Medical, dental and vision insurance
• Flexible spending account
• Paid time off
• Up to 12 paid holidays
• Paid parental and family leave
• Family building benefits
• Back-up care
• Enhanced family support
• Childcare subsidy
• Tuition assistance
• College coaching
• Short- and long-term disability
• Voluntary AD&D coverage
• Voluntary accident coverage
• Voluntary life insurance
• Voluntary disability insurance
• Voluntary long-term care insurance
• Mobile service & home internet discounts
• Pet insurance
• Access to commuter and transit programs