Job Description

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.

Staff Software Development Engineer

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

What You Will Do

Design 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. Foster a collaborative and inclusive environment by effectively communicating 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 DevOps and AIOps best practices for AI services, maintainability, performance optimization, and observability.

Requirements

Minimum 10+ years of experience designing, building, and operating cloud-native applications at scale. Expertise 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 CloudFormation. 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 (TensorFlow, PyTorch), and tools is a plus Familiarity with modern LLMs and AI agent frameworks like LangChain, LlamaIndex , AutoGen etc. is a strong plus

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.