Role: Full stack Software Engineer (GenAI Platforms)

JD:

. 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