Staff/ Sr. Staff Software Engineer - Core Platform

San Francisco Bay Area
About JazzX AI -
 
Our mission is to build a world where enterprise knowledge work is no longer constrained by human capacity.
 
JazzX AI is building an AGI-first system of intelligence for the enterprise — a platform designed to transform how complex, judgment-heavy work gets done.
Instead of adding AI features to existing software, JazzX re-architects enterprise workflows from first principles. Our platform integrates reasoners, knowledge fabrics, and role-native assistants to create intelligent systems that can understand goals, reason through policies, collaborate with humans, and execute work end-to-end — all within human-defined guardrails and with full explainability.
 
We are starting with residential lending, where deep due diligence, complex policies, and expert judgment define outcomes, and are building a horizontal platform that will enable intelligent applications across many industries characterized by knowledge-centric, manually intensive processes.
 
JazzX is not about dashboards or automation. It’s about Work-as-a-Service — intelligent systems that continuously learn, adapt, and deliver outcomes at enterprise scale.

Backed by SAI Group
JazzX AI is incubated and backed by SAI Group, a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAI Group’s portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one.

Role Overview

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

Platform Architecture & Intelligent Orchestration

  • 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 behavior, 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.

Cloud Infrastructure & Real-Time Systems

  • 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, and event-driven architecture and different 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.

Why Join JazzX AI -

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

We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.

JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.

If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.

 

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