Jobs at JazzX AI

Lead end-to-end engineering for an AI-native enterprise platform: set architecture and platform strategy, harden AI quality and reliability, scale delivery and operations, convert deployment patterns into reusable platform capabilities, and build a distributed US-India engineering organization with strong cross-functional alignment and enterprise-grade governance.

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

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.

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

Lead product strategy and execution for AI-native, enterprise workflow and platform products. Define high-impact problems, design reusable platform capabilities, partner with engineering and customers, and measure outcomes to drive adoption and continuous improvement.

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.

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.

Lead design and evolution of platform architecture, ensuring reliability, performance, and security while influencing technical strategy and mentoring engineers.

Design and build end-to-end AI-native applications: React/TypeScript frontends, scalable backend microservices, LLM/agent orchestration, data/search systems, and platform infrastructure. Lead architecture, mentor engineers, and champion DevOps/AIOps, observability, security, and production-grade AI deployments.

Lead the development of high-performing user interfaces, collaborate with AI and product teams, and mentor junior engineers in crafting intelligent, scalable web applications.

As a Staff Platform Engineer, you will lead the architecture and automation of cloud-native platforms, enhance operational reliability, and mentor engineers while leveraging Azure and DevOps methodologies.

The role involves generating qualified leads, crafting proposals, and supporting business development for a pioneering AI company targeting Fortune 1000 clients.

As a Senior Staff Software Engineer, you'll shape the architecture of JazzX's AI-native platform, ensuring scalability, reliability, and performance. You'll lead design reviews, guide cloud-native practices, enhance developer experience, and ensure operational excellence, while also mentoring other engineers and collaborating with cross-functional teams to deliver robust capabilities.

The UI Engineer will design and build intuitive user interfaces on the JazzX platform, collaborating deeply with clients to enhance their workflows and user experience.

Lead the design and development of an innovative enterprise AI platform, mentoring junior engineers and ensuring operational excellence.

Design and architect solutions for enterprise clients in financial services. Lead implementations, provide technical expertise, and mentor junior engineers.

The Staff Software Development Engineer will define technical vision, mentor engineers, oversee AI platform development and ensure scalability, reliability and security.

As a Senior AGI Engineer, you will develop AGI solutions, integrate features in client environments, and collaborate across teams to deliver measurable results.

The Senior Staff AI Engineer will design, develop, and optimize reinforcement learning systems for enterprise applications, ensuring effective integration and compliance with ethical standards.