About the job
We are seeking an experienced Full Stack Engineer to join a growing technology team within the government sector. This role will focus on maintaining, enhancing, and scaling an enterprise-grade Generative AI and agent orchestration platform that powers advanced AI-driven applications and services.
You will work across a high-performance Python/FastAPI backend and modern Next.js frontend, ensuring seamless integration, performance, security, and scalability. You will also contribute to the next phase of platform development, including an internal AI Marketplace, dynamic Generative UI experiences for autonomous agents, and future data platform initiatives.
If you enjoy building intuitive user experiences on top of complex AI systems and are excited about leveraging modern AI-assisted development tools to accelerate delivery, we would love to hear from you.
Key Responsibilities
Full Stack Platform Development
- - Design, develop, and maintain platform features across both frontend and backend systems.
- - Build and enhance User Management modules, including authentication, authorization, SSO/SAML integration, session management, and concurrent login protection.
- - Develop administrative portals, analytics dashboards, and enterprise platform capabilities.
AI Marketplace & Access Management
- - Design and implement business logic and user interfaces for an internal AI Marketplace.
- - Develop robust Role-Based Access Control (RBAC) and tenant isolation capabilities.
- - Enable secure publishing, sharing, and management of AI assets including chatbots, datasets, and agentic skills.
Agent Integration & Generative UI
- - Collaborate closely with AI and GenAI teams to integrate intelligent agents into the platform.
- - Design and develop dynamic, component-driven user interfaces that adapt based on agent actions, selected tools, or external API integrations.
- - Build reusable frontend components to support AI-driven workflows and autonomous agent interactions.
Analytics & Data Visualisation
- - Develop dashboards to monitor platform usage, token consumption, AI model performance, user engagement, and operational metrics.
- - Build rich visualisation components to support platform administrators and business stakeholders.
- - Contribute to frontend architecture supporting future data platform and pipeline initiatives.
Database & Application Architecture
- - Design and maintain scalable PostgreSQL database schemas supporting chatbot and agent workflows.
- - Implement data models for permissions management, workflow orchestration, audit trails, and conversational history management.
- - Optimise application performance, scalability, and reliability across the platform.
Security & Compliance
- - Maintain secure, zero-trust architecture principles across the platform.
- - Implement secure authentication, input validation, secrets management, and encryption practices.
- - Integrate AWS security services including AWS KMS to support secure JWT handling and compliance with government security requirements.
Requirements
Experience
- - Minimum 5 years of software engineering experience with proven expertise in both frontend and backend development.
- - Experience delivering and maintaining enterprise-scale web applications in production environments.
- - Strong understanding of software architecture, application security, scalability, and system integration.
Frontend Technologies
- - Strong proficiency in React and Next.js.
- - Experience with App Router, Server Components, and modern frontend architecture patterns.
- - Expertise in state management and handling real-time or streaming application workflows.
- - Experience building dynamic component-based interfaces and highly interactive user experiences.
Backend Technologies
- - Strong hands-on experience with Python and FastAPI.
- - Experience with asynchronous programming, middleware implementation, background processing, and API integrations.
- - Strong understanding of RESTful APIs and modern backend architecture patterns.
Database & Data Management
- - Strong proficiency in PostgreSQL and relational database design.
- - Experience designing and managing complex schemas, relationships, permissions structures, and high-volume transactional systems.
Cloud Technologies
- - Practical experience with AWS services such as S3, IAM, Lambda, and DynamoDB.
- - Familiarity with cloud-native application development and deployment practices.
Nice to Have
Generative AI & LLM Platforms
- - Experience working with Large Language Models (LLMs) and Generative AI platforms.
- - Hands-on experience with AWS Bedrock, Knowledge Bases, Converse API, or similar AI services.
- - Experience integrating external AI APIs and orchestration frameworks.
Data & Analytics
- - Previous experience building data platforms, analytics applications, or internal reporting systems.
- - Background in data analysis or data engineering would be advantageous.
Data Visualisation
- - Data Visualisation - Ex