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Capgemini

Global consulting, technology services, outsourcing

Full Stack Engineer - Gen AI Platforms

Full-Stack EngineeringUpdated on Nov 14
Full-timeSingaporeNo salary listedIn-person

About the Job

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 and NoSQL databases, CI/CD pipelines, and DevOps practices.
  • Experience designing or leading systems involving search engines, including crawling, indexing, ranking, and relevance tuning; semantic search or vector search; and Retrieval-Augmented Generation (RAG) architectures.
  • Production experience integrating large language models (LLMs) into applications.
  • Experience managing AI-related trade-offs, including latency versus cost, accuracy versus hallucination risks, prompt engineering strategies, and 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.
  • Strong communication and stakeholder management skills.
  • Meticulous attention to quality and engineering standards.

Responsibilities

  • 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 such as Azure OpenAI and OpenAI APIs, RAG, semantic search, and vector databases.
  • Establish guardrails for AI systems, including evaluation frameworks, observability and monitoring, and data governance and security considerations.
  • Guide the team from experimentation through prototype development to production-ready AI systems.
  • Evaluate emerging AI technologies and assess their suitability for public sector use cases.
  • Champion Agile technical practices, including test-driven development (TDD), pair programming, and refactoring.
  • Lead DevOps adoption, including build and release automation and infrastructure improvements.
  • Oversee automated testing strategy, including unit, integration, and performance testing.
  • 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 on 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 support their technical and professional development.

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1967

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