Staff Software Engineer - Core Platform

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.

Headquartered in Los Altos, CA. Backed by SAIGroup.

SAIGroup is 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.

We are hiring an experienced, hands on systems and AI Staff/Sr. Staff engineer to help build and operate the core, differentiated AI capabilities in the JazzX platform. You will be a technical leader and hands on builder, collaborating across multi disciplinary teams to deliver on our strategic roadmap.

This is a pivotal technical role to scale multi agent systems, adaptive AI learning loops, and real time orchestration infrastructure that enables enterprise ready autonomy.

Key Responsibilities

• Build scalable, intelligent backend systems that power real time orchestration of AI driven workflows across the enterprise.
• Design and implement infrastructure that enables collaborative AI agents to communicate, coordinate, and solve complex tasks together.
• Build flexible memory and context management systems that allow AI components to retain knowledge, personalize behaviour, and reason over past interactions.
• Contribute to adaptive learning pipelines that help the platform continuously improve through feedback, fine tuning, and in context learning.
• Develop tools and frameworks that simplify the design, composition, and integration of AI agents, models, and services-supporting both developers and non technical users.
• Engineer cloud native, low latency components using modern distributed system design patterns and DevOps practices.
• Drive observability, uptime, and incident resilience in a high stakes orchestration system.
• Champion testability, logging, metrics, and security best practices.
• Ensure operational excellence, including system reliability, observability, cost efficiency, and compliance through automation and well defined guardrails.

Technical Leadership & Culture Building

• Contribute to architecture reviews, design decisions, and platform level evolution across workstreams.
• Mentor engineers in distributed systems, agentic AI, and enterprise grade software practices.
• Partner with other technical leaders, product, research, and design teams to deliver outcomes aligned with strategic milestones.

Experience & Qualifications Technical Foundation

• 12+ years building cloud scale distributed systems with deep experience in microservices, API design, event driven architecture, and various design patterns.
• Mastery in at least two of: Python, Java, Go, TypeScript, C++.
• Experience deploying in Azure, AWS, or GCP; strong command of Kubernetes, Docker, and CI/CD pipelines.

AI Systems & GenAI Expertise (Highly Preferred)

• Experience with LLM orchestration, MLOps, or agent based systems (e.g., LangChain, AutoGen, LangGraph).
• Hands on with feedback loops, fine tuning pipelines, model evaluation, or memory architectures.
• Knowledge of GenAI safety frameworks (e.g., bias mitigation, explainability, runtime guardrails).

Systems Thinking & Leadership

• Demonstrated technical ownership of platform scale initiatives and multi quarter roadmaps.
• Experience designing for modularity, resilience, and observability at the system level.
• Exceptional communicator with a builder's mindset and ability to simplify the complex.

We offer a competitive salary ranging from USD 173,000 to USD 242,000, along with equity options and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

What draws people to JazzX AI is the opportunity to build something truly foundational.