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The role involves building and operating AI capabilities, creating scalable backend systems, mentoring engineers, and contributing to architectural decisions for an AI-driven platform.
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.
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 ResponsibilitiesPlatform 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.
- 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.
- 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.
- 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.
- 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).
- 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.
Top Skills
AWS
Azure
C++
Ci/Cd
Docker
GCP
Go
Java
Kubernetes
Python
Typescript
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