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