About the job
Join Our Innovative Team as a Full Stack Engineer
At Unity Advisory, we are pioneering the future of professional services in an AI-driven landscape. Our firm operates on a lean, conflict-free model that prioritizes client success and integrates advanced technology throughout all our processes.
With no audit practice, we are unburdened by traditional conflicts and legacy structures, enabling us to act swiftly and collaboratively. Our flat organizational structure fosters an environment where talented individuals can excel and create significant value for our clients.
We blend deep advisory knowledge with state-of-the-art data, AI, and commercial insights, helping our clients tackle complex challenges with speed, intelligence, and clarity. At Unity Advisory, we are transforming the delivery of expert advisory services through innovative engagements.
Your Role
We are in search of a skilled Full Stack Engineer to become a vital member of our team, focusing on the development of our Core Internal AI Platform.
In this internal-facing role, you will create end-to-end software solutions that support AI-enabled tools and workflows utilized across our firm. Your responsibilities will encompass frontend, backend, and platform layers—designing, building, and maintaining production-grade systems that incorporate data, AI features, and user-facing applications.
This hands-on position is ideal for an individual who takes ownership of features from initial concept to final deployment and thrives in a dynamic, high-responsibility environment.
Key Responsibilities
- Design, develop, and maintain comprehensive full-stack applications to enhance our internal AI platform and workflows.
- Create scalable backend services, APIs, and data integrations that drive AI-powered functionalities.
- Develop user-friendly and high-performance interfaces that enable users to interact with complex, data-driven, and AI-integrated systems.
- Incorporate AI and data features into applications and internal tools seamlessly.
- Work collaboratively with AI engineers, data engineers, and product stakeholders to deliver cohesive end-to-end solutions.
- Implement strong engineering practices across all stages: development, testing, deployment, monitoring, and observability.

