Senior Staff Software Engineer
JazzX AI
| Company | JazzX AI |
| Category | Engineering |
| Location | Bengaluru |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 10 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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.
About JazzX AI
JazzX AI delivers value across the full AI application lifecycle:
Next-Generation Enterprise AI Platform A production-grade AI platform that orchestrates foundation models, reasoning systems, agents, retrieval, evaluation, and guardrails—designed for reliability, safety, and scale.
AI Builder Studio (Low-Code / No-Code)
A modern Builder Studio enabling developers and non-developers to design, compose, and deploy AI-powered workflows using visual and declarative abstractions .
First-Party Enterprise Applications Customer-facing enterprise applications built on the same platform, ensuring dogfooding, rapid iteration, and real-world validation at scale. We are starting with residential lending—a domain defined by deep due diligence, complex policies, and expert judgment—and are building a horizontal AI platform that will extend across knowledge-intensive industries.
Role Overview
As a Senior Staff Software Engineer at JazzX AI, you will operate as a principal technical owner of the platformʼs most critical architectural foundations. This is a highly hands-on, senior individual contributor role with company-wide technical influence.
You will lead the design and evolution of core platform systems, shape long term technical strategy, and drive execution across multiple teams and domains. Your work will directly influence:
The long-term architecture of JazzXʼs AI-native SaaS + PaaS platform
How AI capabilities are safely, reliably, and audibly operationalized at scale
Platform reliability, performance, security, and developer experience
Engineering standards, architectural principles, and technical decision making across the organization
This role is for engineers who think in systems, operate with extreme ownership, and enjoy solving ambiguous, high-impact problems at platform scale.
What You Will Do
Platform & System Architecture
Define and evolve the end-to-end architecture for core platform services that power JazzXʼs AI-native enterprise system.
Own architectural decisions across distributed systems, service orchestration, data flows
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