JazzX AI
Software Engineer, AGI Platform
San Francisco Bay Area
Sponsorship not specifiedDetected 20 days ago
JavaScriptTypeScriptPythonJavaGoBackend DevelopmentCode ReviewCloud PlatformsDockerKubernetesMachine LearningLLMsRAGMLOpsA/B TestingResearch
About the role
- This is a software engineering role with strong exposure to modern AI systems, including LLM-powered services, agentic workflows, retrieval systems, evaluation pipelines, and production-grade AI infrastructure.
- You will work across backend services, APIs, platform components, and product workflows that enable AI-driven enterprise applications to run reliably in production.
Responsibilities
- Build Core Platform Services
- Design and develop scalable backend services, APIs, and platform components for enterprise AI applications.
- Build reliable systems for workflow execution, orchestration, observability, and evaluation.
- Develop AI-Enabled Product Capabilities
- Build and improve services that support prompt execution, tool use, knowledge retrieval, memory, and evaluation workflows.
- Collaborate Across Disciplines
- Partner with product, design, and architecture teams to translate complex requirements into modular and scalable implementations.
- Contribute to technical design discussions and help shape platform direction.
- Drive Engineering Excellence
- JazzX AI is defining the future of enterprise work-by building AI-native digital workers that actually get the job done.
Requirements
- 3+ years of experience designing and building production software systems.
- Experience with cloud platforms, containers, and modern deployment practices.
- Strong understanding of software quality, testing, debugging, and operational reliability.
- Ability to work in a fast-moving, cross-functional environment and turn ambiguous requirements into working systems.
Nice to have
- Experience with AI/ML-enabled products or platforms.
- Familiarity with LLMs, retrieval-augmented generation, prompt workflows, or agent frameworks such as LangChain, LlamaIndex, CrewAI, or AutoGen.
- Exposure to MLOps, observability, evaluation frameworks, or experimentation platforms.
- Experience with knowledge graphs, ontology-driven systems, or enterprise search and retrieval is a plus.
- Experience with Kubernetes, Docker, infrastructure as code, and cloud-native architecture.
- Why Join JazzX AI:
- 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.
Compensation
- 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 en
Benefits
- Vision: Enterprises operating on institutional intelligence-governed, self-improving, and scalable beyond individual expertise.
- JazzX AI brings together vision, deep technology, and purpose.
Company info
- https://www.linkedin.com/company/jazzx-ai
- 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.
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This listing is sourced directly from JazzX AI's careers page and normalized into a canonical job model.