The Project Manager will lead the planning, execution, and delivery of enterprise AI automation projects while maintaining clear communication with client stakeholders. They are responsible for tracking project timelines, budgets, risks, and ensuring all action items are followed through to completion.
The Senior QA Engineer will manage the end-to-end quality lifecycle, including test strategy design, functional and regression testing, and API validation. They will also champion quality best practices, mentor team members, and collaborate closely with developers to ensure product reliability.
Develop new user-facing features and optimize applications for maximum speed and scalability. Collaborate with cross-functional teams to ensure technical feasibility and improve overall usability.
The Product Owner will manage the product backlog, define user stories, and facilitate Agile ceremonies to ensure efficient development. They are responsible for aligning cross-functional teams, overseeing feature validation, and maintaining clear communication with stakeholders.
You will embed with client teams to identify workflows suitable for automation and build AI agents to handle them. This involves conducting discovery interviews, prototyping solutions on the Makai platform, and managing the rollout process.
Develop and optimize new features across Node.js and TypeScript backend services to enhance scalability and speed. Collaborate with cross-functional teams to implement innovative solutions and ensure the technical feasibility of UI/UX designs.
The Senior Software Engineer will lead backend application development using Flask to create new features and optimize for scalability. They will collaborate with cross-functional teams to ensure technical feasibility of UI/UX designs and maintain high code quality.
Design, build, and maintain reusable Azure cloud platforms and Terraform foundations for various clients. Manage the full lifecycle of platforms including networking, compute, data services, and deployment pipelines.
Build and improve AI-powered applications and internal tools using LLMs, agents, and retrieval systems. Rapidly prototype and iterate on client projects to turn prototypes into reliable, production-ready systems.
The Business Analyst will support the client lifecycle by documenting workflows, analyzing user journeys, and creating functional specifications for software development. They will also collaborate with cross-functional teams to drive innovation, lead client meetings, and provide ongoing product support.
