Senior Staff Software Engineer

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, and platform extensibility.

Ensure designs balance scalability, reliability, security, privacy, and operational excellence .

Drive architectural reviews, RFCs, and long-term technical planning across teams.

Lead the design of enterprise workflows involving multiple services, teams, and human/system interactions .

Use process modeling techniques (e.g., BPMN or equivalent) to clarify flows, ownership, failure paths, and execution semantics.

Cloud-Native & Infrastructure Foundations

Set technical direction for cloud-native architecture across compute, storage, networking, and deployment models.

Champion cloud-first, cloud-agnostic patterns and infrastructure best practices.

Guide containerization, orchestration, and Infrastructure-as-Code standards.

Partner closely with SRE, DevOps, and Security teams to build resilient, observable, and cost-efficient systems.

Developer Experience & Platform Enablement

Design and build foundational APIs, frameworks, and abstractions that enable application and AI engineers to move fast without compromising correctness or safety.

Establish platform contracts, service boundaries, and internal standards for extensibility and reuse.

Ensure platform components are modular, composable, and well documented.

Act as a force multiplier for engineering velocity across the organization.

Operational Excellence & Reliability

Own production readiness for mission-critical platform components, including availability, latency, scalability, and fault isolation.

Define and enforce SLAs, SLOs, and reliability standards.

Drive best practices around observability, distributed tracing, alerting, and incident response.

Continuously improve operational maturity as the platform scales.

Technical Leadership & Organizational Influence

Serve as a senior technical leader influencing platform direction through execution, not hierarchy.

Mentor Staff and Senior engineers, raising the bar for systems thinking, design quality, and technical rigor.

Collaborate deeply with AI research, product, security, and design teams to translate complex requirements into robust platform capabilities.

Act as a trusted technical advisor to senior engineering and product leadership.

What Weʼre Looking For

Required Qualifications

12+ years of experience designing, building, and operating large-scale, production-grade software systems.

Proven track record of owning and evolving complex distributed systems or platform architectures.

Deep expertise in cloud-native systems, service-oriented design, and distributed architectures.

Strong hands-on experience with containerized environments Docker, Kubernetes) and modern cloud platforms.

Software Engineering Excellence

Expert-level understanding of software design principles, clean code practices, and system-level trade-offs.

Strong proficiency in Python, with deep experience in at least one of: Java -Primary , Go, or JavaScript.

Demonstrated ownership across the full SDLC: design, implementation, testing, deployment, and operations.

Ability to make sound architectural decisions under ambiguity and evolving requirements.

Platform, Data & Infrastructure Skills

Experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).

Strong understanding of observability stacks, metrics, logging, and distributed tracing.

Experience with event-driven systems, streaming platforms (e.g., Kafka), and both SQL and NoSQL databases.

Familiarity with enterprise security, access control, and compliance considerations.

Experience designing and implementing cross-system workflows (order processing, onboarding, approvals, etc.)

Hands-on experience with BPMN-based or workflow-driven systems .

AI / ML (Strong Plus)

Experience building or operating platforms that support AI/ML or data intensive workloads.

Exposure to MLOps, AI service deployment, or AI-adjacent infrastructure.

Experience integrating modern AI systems (LLMs, agents, retrieval, evaluation pipelines) into production platforms is a strong plus.

What Sets You Apart

You think in plat