You.com

AI Engineer

• Act like a startup CTO, turning AI vision into robust, production-ready AI solutions that ship fast and deliver measurable wins for customers
• Design and develop AI applications primarily in Python
• Run evaluations to validate models and package solutions for Kubernetes, AWS, or adapt them to customer on-premises clusters
• Lead discovery sessions, guide pilot projects, and ensure successful deployments
• Collaborate mostly remotely with occasional on-site workshops and in-person gatherings
• Monitor system performance and reliability; add to logging, billing, and auth services
• Build internal tooling to automate repetitive tasks
• Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform

Senior AI Engineer, Enterprise Solutions

Solutions Engineer

• Lead discovery workshops with customers and stakeholders to elicit business, functional, and technical requirements
• Translate business needs into comprehensive solution architectures, including process flows, technical blueprints, and user journey maps
• Collaborate with UX/UI designers to ensure usability and user experience are integral to the solution design
• Develop detailed technical designs, including system integrations, data flows, and security models
• Serve as the technical authority throughout the project lifecycle, providing guidance on architectural decisions and technology selection
• Oversee the implementation of solutions, working closely with engineering, product, and QA teams
• Lead solution validation activities, including technical feasibility assessments, performance testing, and user acceptance testing
• Proactively identify and mitigate technical risks, ensuring solutions are scalable, secure, and maintainable
• Define and document solution delivery processes, ensuring repeatability and continuous improvement
• Track project milestones, deliverables, and dependencies, providing regular updates to stakeholders
• Support resource allocation and coordination
• Act as a trusted advisor to customers, building strong relationships and setting clear expectations
• Partner with sales, customer success, and field engineering teams to accelerate adoption and drive business outcomes
• Provide feedback to product and engineering teams based on customer insights and solution performance
• Deliver training and enablement sessions to customers and internal teams
• Develop and maintain solution documentation, architectural artifacts, and best practice guides to support ongoing customer success

Senior AI Engineer, Enterprise Solutions

Solutions Architect