Full-stack Software Engineer - #1763

What to Expect

• Provide technical leadership to an agile, cross-functional development team
• Define and communicate technical vision across multiple workstreams
• Design scalable, secure, and resilient architectures for search and AI-powered systems
• Make architectural trade-offs balancing performance, cost, reliability, and security
• Collaborate with other Tech Leads to plan technical spikes and long-term technical strategy beyond sprint scope
• Identify technical risks early and lead mitigation strategies
• Architect systems leveraging:
• LLM integrations (e.g., Azure OpenAI, OpenAI APIs, etc.)
• Retrieval-Augmented Generation (RAG)
• Semantic search and vector databases
• Establish guardrails for AI systems including:
• Evaluation frameworks
• Observability and monitoring
• Data governance and security considerations
• Guide the team from experimentation → prototype → production-ready AI systems
• Evaluate emerging AI technologies and assess suitability for public sector use cases
• Champion Agile technical practices (TDD, pair programming, refactoring, CI/CD)
• Lead DevOps adoption including build, release automation, and infrastructure improvements
• Oversee automated testing strategy (unit, integration, performance)
• Lead resolution of technical blockers and retrospective improvements
• Ensure engineering standards are upheld across the team
• Work closely with Product Owners and Business Analysts to prioritise business stories and technical investments
• Collaborate with UX Designers for feasibility studies and solution estimation
• Partner with Delivery Managers on long-term planning, system integrations, and resource forecasting
• Represent the development team in governance and stakeholder meetings
• Mentor and coach engineers to grow both technically and professionally

How to Succeed

• 5–7+ years of experience in web application development
• Proven experience leading agile development teams
• Strong hands-on experience with:
• Node.js, TypeScript
• Cloud platforms (Azure, AWS, GCP)
• SQL & NoSQL databases
• CI/CD pipelines
• DevOps practices
• Designed or led systems involving:
• Search engines (crawl, index, ranking, relevance tuning)
• Semantic search or vector search
• RAG architectures
• Production experience integrating LLMs into applications
• Experience managing AI-related trade-offs:
• Latency vs cost
• Accuracy vs hallucination risks
• Prompt engineering strategies
• Model evaluation methodologies
• Understanding of AI system governance, security, and responsible AI practices
• Strong coaching and mentoring capabilities
• Comfortable leading technical discussions and influencing stakeholders
• Proactive self-starter with strong ownership mindset
• Passionate about continuous improvement
• Curious about emerging technologies and willing to experiment responsibly
• Strong communication and stakeholder management skills
• Meticulous attention to quality and engineering standards