Full Stack Engineer - AI focused - #1676

About the Role We are looking for a Full Stack Software Engineer with an AI focus to join our technology team in building secure, scalable and user-centric digital solutions that deliver meaningful outcomes for citizens, businesses and public officers. You will work across the full software development lifecycle — from solution design and architecture through development, testing, deployment and production support. You will also play a key role in applying Artificial Intelligence, Generative AI and Machine Learning to enhance digital services, automate processes and enable data-driven decision making. This role is ideal for an engineer who enjoys solving complex problems, building production-grade applications and translating emerging AI capabilities into practical solutions. Key Responsibilities Full Stack Engineering Design, develop and maintain scalable web applications and digital services across the front end and back end. Build intuitive, accessible and responsive user interfaces using modern web technologies. Develop secure, reliable and well-documented APIs and backend services. Design and work with relational and NoSQL databases, data models and integration services. Integrate applications with internal systems, government platforms and third-party services. Write clean, maintainable, testable and production-ready code. Participate in code reviews, technical design discussions and engineering best practices. Troubleshoot production issues and continuously improve application performance, reliability and scalability. AI / Generative AI Design and develop AI-powered features and applications using technologies such as LLMs, Generative AI, RAG, AI agents and Machine Learning. Integrate commercial and/or open-source AI models into production applications through APIs and model-serving platforms. Build AI workflows involving prompt engineering, retrieval, embeddings, vector databases and knowledge bases. Evaluate AI solutions for accuracy, reliability, latency, cost and user experience. Implement appropriate safeguards for AI applications, including data protection, access control, human oversight and responsible AI practices. Prototype emerging AI technologies and assess their potential for government use cases. Work with data, product and business stakeholders to identify opportunities where AI can improve operational efficiency or citizen services. Cloud, DevSecOps & Engineering Excellence Develop and deploy applications using modern cloud and container technologies. Implement CI/CD pipelines, automated testing, monitoring and observability. Apply secure software development practices throughout the development lifecycle. Ensure solutions comply with relevant government security, data protection, architecture and technology standards. Contribute to system architecture, technical documentation and operational readiness. Monitor application health, performance and security and participate in incident resolution. Collaboration Work closely with product managers, UX designers, data scientists, cybersecurity teams and business stakeholders. Translate business and user requirements into practical technical solutions. Communicate technical concepts clearly to both technical and non-technical stakeholders. Mentor junior engineers and contribute to the development of engineering standards and practices. Requirements Technical Skills Bachelor's degree or equivalent experience in Computer Science, Software Engineering, Information Technology or a related discipline. Strong software engineering experience developing production-grade applications. Proficiency in one or more backend languages such as Java, Python, C#, Go or Node.js/TypeScript. Strong experience with modern frontend frameworks such as React, Angular or Vue.js. Good understanding of RESTful APIs, microservices, event-driven architectures and system integration. Experience with relational databases such as PostgreSQL, MySQL or MS SQL, and familiarity with NoSQL technologies. Experience with Git and modern software development practices, including automated testing and code review. Familiarity with cloud platforms such as AWS, Microsoft Azure or Google Cloud. Experience with Docker and/or Kubernetes is advantageous. AI / Data Skills Practical experience integrating Generative AI or LLM capabilities into software applications. Understanding of concepts such as: Prompt engineering Retrieval-Augmented Generation (RAG) Embeddings and vector databases LLM APIs and model integration AI agents and tool/function calling Model evaluation and monitoring Experience with AI frameworks or tools such as LangChain, LlamaIndex, Semantic Kernel or equivalent is advantageous. Familiarity with Python-based AI/ML libraries and frameworks is a plus. Understanding of AI security, privacy, governance and responsible AI principles is highly desirable. Preferred Experience Candidates with experience in one or more of the following will have an advantage: Building AI-powered enterprise or government applications. Developing citizen-facing or large-scale digital services. Working with sensitive or regulated data. Cloud-native application development. DevSecOps and automated CI/CD. Microservices and distributed systems. Data engineering, analytics or machine learning. Implementing RAG-based enterprise knowledge assistants or AI copilots. AI governance, model evaluation, AI security or responsible AI. Experience working in a public-sector, regulated or highly secure environment. What We Are Looking For Beyond technical skills, we value engineers who: Are curious about emerging AI technologies and able to distinguish practical applications from hype. Think systematically and can break complex problems into manageable solutions. Take ownership of software quality, security and operational outcomes. Care about building technology that creates tangible value for citizens and public officers. Are comfortable working in cross-functional and multidisciplinary teams.…