{"id":2341356,"url":"https://alion.io/job/vinova-full-stack-ai-engineer-2","title":"Full Stack AI Engineer","company":{"id":175396,"name":"Vinova","domain":"vinova.sg","url":"https://alion.io/company/vinova","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":6600,"max":6600,"currency":"SGD","period":"month","gross":true,"usd_annual":61908},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-12T00:00:00Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"Company Overview\nEstablished in 2010, Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Serving global clients in IoT, blockchain, fintech, and ecommerce, Vinova delivers quality products through passionate, collaborative teams.\nJob Summary\nYou will design and build scalable, reliable software systems with a focus on full-stack development and AI engineering, including LLM applications. Collaborate with stakeholders to deliver maintainable, high-quality solutions that meet modern accessibility and performance standards.\nResponsibilities\nDesign and build scalable software systems to meet client and business needs\nDevelop full-stack applications using modern technologies such as React.js, TypeScript, and Node.js\nTroubleshoot and debug complex system behaviors and logs to ensure reliability\nBuild LLM workflows using retrieval-augmented generation (RAG), tool calling, structured outputs, agents, and human-in-the-loop patterns\nDevelop evaluation pipelines using golden datasets, regression tests, deterministic evaluators, and LLM-as-a-judge methods\nImplement observability, monitoring, guardrails, fallbacks, and validation to maintain reliable AI systems\nBalance model quality, latency, reliability, maintainability, and cost in AI solutions\nMaintain automated tests including unit, integration, and end-to-end testing to ensure software quality\nManage CI/CD pipelines and technical documentation to support agile engineering practices\nCommunicate technical trade-offs and quality standards clearly to diverse stakeholders\nPreferred competencies and qualifications\nKnowledge of Docker, Infrastructure as Code, and Bash scripting\nPassion for building inclusive technology and applying digital accessibility standards\nExperience writing code compliant with Web Content Accessibility Guidelines (WCAG) 2.2 Level A and AA\nFamiliarity with assistive technologies and screen readers such as VoiceOver, NVDA, and TalkBack\nWillingness to learn digital accessibility regulations and best practices\nSkills\nAi, Reliability Analysis, Agents, Evaluation Plans, Regression Testing, TypeScript, JavaScript, Workflow Development, Scalable Systems, Monitoring, Troubleshoot system failures, Low Latency, AI Safety, Design for Maintainability, End-to-End Testing, 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