Job Description

About JazzX AI:

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.
About SAIGroup :
SAIGroup 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 — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one.

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

The Role

As a Senior Full Stack AI Engineer at JazzX AI, you will play a pivotal role in designing, building, and enhancing innovative, high-performance AI-driven solutions. You'll work closely with cross-functional teams — AI/research engineers, software engineers, architects, product managers, and designers — to translate complex platform and product requirements into elegant, scalable, and modular AI,software, and infrastructure components.

You'll independently build end-to-end applications — from pixel-perfect frontend to robust backend services and AI agent integrations. You thrive in a fast-moving environment where you leverage AI tools (Cursor, Claude Code, Copilot) and vibe coding to rapidly prototype, build, and ship production-grade features. You don’t just use AI — you build with it and build on top of it.

Senior Full Stack AI Engineer

• Drive architecture decisions for new features and services end to end
• Lead the design and development of high-performance, scalable services using a cloud-first approach
• Build and ship complex, multi-service features with minimal oversight
• Mentor engineers and foster their growth and development, elevating team velocity through tooling and best practices
• Design scalable patterns for AI agent orchestration, data pipelines, and micro-frontends
• Champion DevOps and AIOps best practices for AI services, including robust monitoring and alerting strategies, observability, privacy, and security
• Lead technical planning and shape the team's AI-native development culture
• Typically 5–8+ years of relevant experience with demonstrated technical leadership

What You'll Build

AI-Powered Applications:

End-to-end products combining LLM agents, document intelligence, and knowledge graphs to automate complex enterprise workflows

Intelligent Frontends:

Rich, responsive React/TypeScript UIs with real-time streaming, document viewers, code editors, and interactive data visualizations

Backend Services:

High-performance, scalable microservices (Python/FastAPI, Node.js, or Java) with async patterns, event-driven architectures (Kafka, Celery), and robust API layers — using a cloud-first, cloud-agnostic approach

AI Agent Pipelines:

LLM orchestration using Lang Chain/Lang Graph, MCP integrations, and custom agent frameworks that reason over structured and unstructured data

Data & Search Systems:

Semantic search with pgvector embeddings, knowledge graphs (Neo4j), and intelligent document processing pipelines

Platform Infrastructure:

Ensure platform scalability, reliability, security, privacy, and operability across all services. Implement robust monitoring and alerting strategies

Our Tech Stack

Frontend

React 18, TypeScript, Vite, Material UI, MobX/Redux, D3, Monaco Editor,Module Federation (micro-frontends)

Backend

Python 3.11+ (FastAPI, SQLModel/SQLAlchemy), Node.js, Java, Celery,Kafka, Redis, WebSockets

AI / LLM

Anthropic Claude, OpenAI GPT, LangChain, LangGraph, LlamaIndex,MCP, Azure Document Intelligence, Custom Agent Frameworks

Data

PostgreSQL, pgvector, Neo4j, Redis, SPARQL, Pydantic

Cloud & Infra

Azure (Storage, Monitor, Identity), AWS (S3, boto3), Docker, Kubernetes,Terraform/Ansible, OpenTelemetry, GitHub Actions

Dev Tooling

Cursor, Claude Code, Copilot, Poetry, Ruff, pytest, Vitest, Storybook, Pre-commit

Required Skills

Full-Stack Proficiency:

Strong hands-on experience with React/TypeScript frontend AND backend development in one or more of: Python (FastAPI),Node.js, Java, Golang, or C++

AI-Native Builder:

Demonstrated ability to build applications using LLM APIs(Claude, GPT) and AI-assisted coding tools (Cursor, Copilot, Claude Code). Familiarity with modern GenAI/LLM services and AI agent frameworks like Lang Chain, LlamaIndex is highly desired

End-to-End Ownership:

Comfortable going from idea → prototype →production across UI, API, database, and deployment

Cloud-Native Mindset:

Strong understanding of cloud-native architectures, containers, and orchestration systems (Docker, Kubernetes). Familiarity with AWS, Azure, or GCP and Infrastructure as Code (Terraform, Ansible) is a plus

Async & Event-Driven Patterns:

Experience with async patterns, task queues(Celery), message brokers (Kafka/Redis)

Database Fluency:

Solid SQL skills (PostgreSQL), experience with ORMs(SQLAlchemy/SQLModel), and exposure to vector databases or graph databases

Modern Dev Practices:

Git workflows, CI/CD, Docker, automated testing(pytest, Vitest), code review culture. Champion innovative software design patterns and advocate for best-in-class observability, security, and privacy practices

Vibe Coding Mindset:

You actively use AI to accelerate development —prompt engineering, code generation, and iterative refinement are part of your daily flow

Nice to Have

Qualifications

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field. Equivalent experience also considered

5–8+ years of software development experience, with at least 2 years in senior or lead engineering role

A naturally curious attitude with a proactive approach to learning, experimenting, building, and improving

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.