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全职 Full Stack Engineer 工作, 薪水, Vinova 公司招聘中 - Ricebowl
Full Stack Engineer
Vinova
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Singapore
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工作地点
Singapore
职位描述
岗位职责
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
重要安全守则
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