Full Stack Engineer (Gen AI Platforms)

• 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

Requirements:

• 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