About JazzX AI : Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done. We believe enterprises don't scale expertise—they lose it.

Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution.

The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option. We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries.

This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes—not demos, not chatbots—JazzX AI is the place. About SAIGroup : SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies.

SAIGroup’s portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one. Role Overview As a Software Engineer, AI Platform, you will help design, build, and operate core services and product capabilities for JazzX AI’s enterprise platform. This is a software engineering role with strong exposure to modern AI systems, including LLM-powered services, agentic workflows, retrieval systems, evaluation pipelines, and production-grade AI infrastructure.

You will work across backend services, APIs, platform components, and product workflows that enable AI-driven enterprise applications to run reliably in production. You will collaborate closely with research engineers, product managers, designers, and other software engineers to turn AI concepts into scalable, secure, and operable systems.

What You Will Do

Build Core Platform Services Design and develop scalable backend services, APIs, and platform components for enterprise AI applications. Build reliable systems for workflow execution, orchestration, observability, and evaluation. Contribute to cloud-native infrastructure and service architecture with strong focus on performance, reliability, and maintainability.

Develop AI-Enabled Product Capabilities Integrate LLMs, retrieval pipelines, agent frameworks, and related AI services into production-grade product experiences. Build and improve services that support prompt execution, tool use, knowledge retrieval, memory, and evaluation workflows. Help operationalize AI systems with proper monitoring, traceability, governance, and scalability.

Collaborate Across Disciplines Work closely with research and AI engineers to productionize experimental capabilities.

Requirements

into modular and scalable implementations. Contribute to technical design discussions and help shape platform direction. Drive Engineering Excellence Write clean, testable, maintainable code.

Improve system operability through strong testing, logging, alerting, and automation. Contribute to code reviews, technical standards, and engineering best practices.

What We’Re Looking For

Required 3+ years of experience designing and building production software systems. Strong software engineering fundamentals in one or more of: Java, Python, Go, JavaScript/TypeScript, or C++.

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