Headquartered in Los Altos, CA. Backed by SAIGroup.
Learn more about JazzX AI:
Website: https://jazzx.ai
LinkedIn: https://www.linkedin.com/company/jazzx-ai
Learn more about SAIGroup:
Website: https://saigroup.ai
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.
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