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Software Engineer, AI Engineer (Applied​/Software), Cloud Engineer - Software

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: JazzX AI
Full Time position
Listed on 2026-07-25
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps, Software Architect
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer

About JazzX AI

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.

About SAIGroup

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

Staff Software Development Engineer

As a Staff Software Development Engineer at JazzX you will define the technical vision for our enterprise AI platform, mentor senior engineers, and oversee the design, development, and deployment of critical AI, software, and infrastructure services and components. You will be responsible for ensuring the platform’s scalability, reliability, security, and observability.

What You Will DoDesign and Architect Scalable Solutions
  • Lead the design and development of high‑performance, scalable services and components for our enterprise AI platform using a cloud‑first, cloud‑agnostic approach with world‑class AI capabilities, scalability, security, privacy, and operability.
  • Champion a cloud‑first, cloud‑agnostic approach to ensure platform versatility, scalability, and future‑proof architecture.
  • Champion innovative AI and software design patterns and best practices to ensure code maintainability, reusability, and testability.
  • Contribute to the platform’s technical direction by staying up to date on emerging AI technologies, cloud design patterns, and user experience methodologies.
Collaborative Innovation
  • Foster a collaborative environment by working 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.
  • Effectively communicate technical concepts and design decisions across diverse audiences.
  • Provide mentorship and guidance to junior engineers, fostering their growth and development.
Driving Operational Excellence
  • Oversee the seamless integration of components into the platform, ensuring efficient operation, reliability, and a dependable user experience for both customers and partners.
  • Champion Dev Ops and AIOps best practices for AI services, maintainability, performance optimization, and observability.
Requirements
  • Minimum 8+ years of experience designing, building, and operating cloud‑native applications ertise in container orchestration frameworks like Kubernetes and containerization technologies like Docker. Expertise in AI/ML/data capabilities, platforms, frameworks, and tools.
  • Proven track record deploying and managing cloud environments using Infrastructure as Code (IaC) tools like Terraform, Ansible, or Cloud Formation.
  • Experience in designing and implementing highly available, scalable, and fault‑tolerant systems.
Development Lifecycle
  • End‑to‑end ownership of the entire software development lifecycle (SDLC) for complex enterprise platforms and products. This includes experience in design, prototyping, development (including unit, integration, and end‑to‑end testing), deployment, and ongoing operations.
Technical Skills
  • Mastery of essential software development principles with a focus on clean code, design patterns, and best practices.
  • In‑depth expertise in at least two of the following programming languages:
    Python, Java, JavaScript, Golang, or C++.
  • Solid understanding of distributed systems concepts and experience with distributed tracing tools.
AI/ML Experience
  • Demonstrated experience in building, deploying, and managing Machine Learning (ML) and Artificial Intelligence (AI) platforms and services. Familiarity with MLOps practices, frameworks (Tensor Flow, PyTorch), and tools is a plus.
  • Familiarity with modern LLMs and AI agent frameworks like Lang Chain, Llama Index, Auto Gen, etc. is a strong plus.
Learn More

Website: (Use the "Apply for this Job" box below)..ai

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