• As a mentor and an engineering leader in the Applied AI / ML practice, you will help grow the careers of other team members, have the opportunity to participate in the hiring process, participate in the annual review cycle, and shape and contribute to the engineering culture as a place to learn and grow. • As a technology Leader, you’ll work directly with Qvest leadership to impact projects, teams and the Qvest organization by creating, shaping, proposing and presenting engineering practices, architectures, and tech stacks. You will influence business development through your expertise by creating content and contributing to proposals. You will extract reusable components, patterns, concepts and lessons learned to be leveraged across the organization. • As a project leader, you’ll help propose technologies to be used on specific projects, and define the shape of the team to build them. As a part of that team, you’ll help the team gather, translate and refine business requirements into deployable systems, extracting and leveraging repeatable design strategies, and creating reference implementations. You will lead by example through the code you contribute, the continuous improvement you foster, and the quality of documentation, architecture, code, and tests you and your teams will deliver.

• We build high performance distributed systems • Engineers play a pivotal role in the company’s success • Systems design/implementation primarily in golang

• Oversee the end-to-end execution of AI projects • Manage, mentor, and inspire a high-performing development team • Provide deep technical leadership in AI technologies • Ensure the highest standards of code quality, performance, and reliability through code reviews • Stay up to date with the latest advancements in AI and related technologies • Serve as the primary point of contact for all AI project related communications

• Develop and enhance features tailored for enterprise customers, focusing on scalability and usability. • Implement and manage user and role management functionalities to support enterprise-level access control. • Design, create, and maintain open APIs for seamless integration with external systems. • Generate comprehensive reports and dashboards to provide actionable insights for business users. • Improve record creation and editing capabilities to enhance data management efficiency. • Work on integrating the platform with third-party tools and enterprise software. • Develop AI-driven features to optimize workflows and enhance user experience. • Collaborate with cross-functional teams to ensure solutions align with customer needs and business objectives. • Maintain high code quality standards through testing, documentation, and best development practices.