G85 - Full Stack Engineer

Position Overview

We are seeking Full Stack Engineers at Consultant and Senior Consultant levels to develop and enhance enterprise AI services, including ChatGPT Enterprise, Microsoft 365 Copilot, Google Gemini Enterprise and emerging AI-enabled applications.

The successful candidates will be responsible for designing, developing, integrating and maintaining secure, scalable applications and services within a large-scale enterprise environment.

Consultant-level candidates will focus on hands-on development, implementation, troubleshooting and production support under the guidance of an Engineering Manager or Technical Lead.

Senior Consultant-level candidates will take greater ownership of complex application development and integration workstreams, contribute to technical design decisions, review code and provide guidance to other engineers.

Prior experience with enterprise AI platforms or agentic AI is advantageous but not mandatory. Candidates with strong full-stack development experience and a willingness to learn are encouraged to apply.

Key Responsibilities

Full Stack Development

• Design, develop, test, deploy and maintain secure, scalable web applications, backend services, APIs and databases.
• Take ownership of engineering deliverables from development through deployment and production support.
• Troubleshoot application issues and improve software performance, reliability and maintainability.

Enterprise Integration

• Develop and maintain APIs and enterprise connectors to integrate AI platforms with identity services, business applications, document repositories and existing systems.
• Ensure reliable communication and data exchange between applications and enterprise platforms.

AI Enablement and Workflow Automation

• Develop automation solutions for user provisioning, licence management and operational workflows.
• Support AI-powered applications, Model Context Protocol (MCP) integrations and agentic AI workflows.
• Implement appropriate security controls, approval mechanisms and operational safeguards.

Cloud and DevOps Engineering

• Implement and maintain CI/CD pipelines, automated testing, application monitoring and deployment processes.
• Troubleshoot production issues, optimise application performance and improve system reliability.
• Support cloud-based application deployment and operational improvements.

Security and Compliance

• Apply secure coding practices throughout the software development lifecycle.
• Implement authentication, authorisation, access controls, data protection and audit logging.
• Support security assessments, vulnerability remediation and compliance with applicable security requirements.

Engineering Collaboration and Continuous Improvement

• Collaborate with product managers, engineers, cybersecurity teams and business stakeholders to translate requirements into technical solutions.
• Participate in code reviews, technical documentation and engineering discussions.
• Promote software quality, maintainability and continuous improvement.
• Support the responsible use of AI-assisted development tools.

Job Requirements

Educational Qualifications and Experience

• Degree or Diploma in Computer Science, Software Engineering, Information Technology or a related discipline, or equivalent practical experience.
• Relevant hands-on experience in full-stack software development, including building, deploying and maintaining applications in production environments.
• Demonstrated ability to deliver working software and troubleshoot technical issues.
• Experience with enterprise AI platforms is advantageous but not mandatory.

Essential Technical Skills

• Strong programming skills in at least one language such as TypeScript, JavaScript, Python, Java or C#.
• Hands-on experience with frontend frameworks such as React, Angular or Vue.js, and backend application development.
• Experience developing REST APIs and working with relational or NoSQL databases.
• Familiarity with Git, software testing, CI/CD pipelines and modern software development practices.
• Understanding of application security, authentication, authorisation and secure data handling.
• Ability to troubleshoot application issues and support software deployment and production operations.

Preferred Skills and Experience

• Experience with cloud platforms such as Microsoft Azure, AWS or Google Cloud, including containers or Infrastructure as Code.
• Experience integrating enterprise applications, Microsoft Graph APIs, Microsoft Entra ID or workflow automation systems.
• Exposure to generative AI, Large Language Model (LLM) APIs, tool calling, AI agents, Retrieval-Augmented Generation (RAG) or Model Context Protocol (MCP).
• Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex or Cursor.
• Familiarity with application monitoring, observability and performance optimisation.
• Experience developing applications in enterprise, regulated or public-sector environments.

Soft Skills and Professional Attributes

• Strong analytical, troubleshooting and problem-solving skills.
• Ability to take ownership of engineering deliverables from development through production support.
• Good written and verbal communication skills, with the ability to explain technical solutions to different stakeholders.
• Ability to work independently and collaborate effectively with multidisciplinary teams.
• Adaptability, willingness to learn and interest in emerging AI technologies.
• Commitment to software quality, security, reliability and continuous improvement.

Additional Responsibilities – Senior Consultant

• Take ownership of complex application development and enterprise integration workstreams.
• Contribute to technical design decisions and solution implementation.
• Lead the delivery of end-to-end technical solutions.
• Review code and provide technical guidance to other engineers.
• Resolve complex technical issues and support production stability.
• Collaborate with stakeholders to translate business and technical requirements into reliable solutions.
• Drive engineering best practices and continuous improvement initiatives.