Jobs at JazzX AI

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

Lead domain expansion by building reusable AI solution accelerators, running customer-embedded deployments, writing detailed PRDs, and productizing learnings into templates, governance, and measurable outcome metrics to scale JazzX's platform across regulated verticals.

As a Staff Software Development Engineer, you will lead the design and development of scalable AI platform solutions, mentor engineers, and ensure operational excellence in AI software services.

The AI Engineer will research, experiment, and develop advanced AI/ML technologies to enhance enterprise software solutions, focusing on foundation models and innovative prototypes.

Lead and architect QA strategy for AI-powered products, manage QA team, develop tests for AI accuracy and performance, and integrate quality into product design.

As a Staff AI Engineer at JazzX AI, you will research and develop innovative solutions using advanced AI technologies, focusing on Generative AI frameworks, foundation models, and prototyping for enterprise applications.

Lead the QA strategy for AI-powered products, managing a team to ensure quality across workflows and services, with a focus on automation and performance testing.

The Staff AI Engineer will research, prototype, and develop advanced Generative AI solutions for enterprise applications, leveraging various AI models and frameworks.

Lead and mentor engineering teams to develop scalable, AI-driven enterprise platforms. Drive technical design and project management, ensuring high-quality delivery and team growth.

Lead the development of user interfaces using AI capabilities, ensuring performance and scalability, while collaborating with various teams and mentoring engineers.

As a Senior Staff Software Engineer, you'll design and evolve core platform systems, driving architectural decisions and enhancing technical strategy. You'll lead efforts in cloud-native architecture, developer experience, and operational excellence while mentoring engineers and influencing organizational technical direction.

As a Senior Full Stack AI Engineer, you'll design and build AI-driven solutions, mentor engineers, and develop high-performance services for enterprise workflows.

The Solutions Engineer role involves designing, building, and deploying customer-facing software solutions using JazzX's AGI platform, emphasizing collaboration, technical execution, and reliability in production environments.

As a Staff Software Development Engineer, you'll lead the design, development, and deployment of scalable AI platform components, mentor staff, and ensure operational excellence while collaborating across teams.

The Demand Generation Specialist will execute marketing campaigns, manage social media, coordinate events, handle CRM operations, and improve lead generation efforts.

The Platform Product Designer will lead the design of complex systems and workflows on the platform, ensuring usability and integration of AI capabilities while driving strategy and collaboration across teams.

The Staff Solutions Engineer leads technical customer engagements, designing and implementing production systems while mentoring other engineers, focusing on GenAI and LLM integrations.

Lead technical customer engagements as a Staff Solutions Engineer, designing and implementing production systems using JazzX's AGI platform, focusing on GenAI and LLM capabilities.

As a Solutions Engineer, contribute to customer solutions using JazzX's AGI platform, building backend services, applying GenAI capabilities, and collaborating with teams.

Own end-to-end delivery for enterprise AI deployments: lead solutions engineers, manage project plans, finances, risks, and stakeholder communication; ensure go-live readiness, customer value realization, and continuous improvement across programmes.