# Staff AI Engineer **Company**: Visa **Location**: Singapore, SG **Work arrangement**: hybrid **Experience**: staff **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/SG---Singapore/Staff-Software-Engineer_REF084670W-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_3a4c638b-975 ## Description We are seeking a Staff AI Engineer to help build next-generation cybersecurity AI products for enterprise security teams. This is a hands-on individual contributor role for an engineer who combines strong AI engineering capability, practical software development skills, and a strong interest in cybersecurity. **Key Responsibilities:** - Design and Build Advanced Cybersecurity AI Products - Build agentic AI workflows for various cybersecurity operations, engineering, and risk processes. - Convert ambiguous product ideas and early prototypes into secure, maintainable, production-grade AI systems - Take end-to-end Technical Ownership of Complex AI Product Components, from problem framing to production operation. - Break down ambiguous problems into technical plans, milestones, risks, and deliverables - Contribute to technical roadmaps and influence prioritization through evidence, customer feedback, and engineering principles - Identify design gaps, tech-debts, scalability risks, and make sound engineering trade-offs. - Research, Evaluate, and Operationalized Emerging AI Technologies - Continuously Learn, Research and Evaluate Emerging AI technologies - Translate research findings into practical implementation patterns, product features, internal recommendations, or technical standards - Share findings through technical documentation, demos, internal talks or fast POCs - Build Production-Grade AI Products - Develop backend services, APIs, integrations, AI orchestration, data pipelines, and other software components. - Support deployment, monitoring, debugging, and operational support of AI products - Work with CI/CD pipelines, containers, infrastructure as code, logging, metrics, and automated testing - Design systems that scale across customers, workloads, data sources, and platforms - Influence Through Technical Excellence - Provide technical guidance to other engineers through code reviews, design discussions, documentation, and example implementations - Mentor less experienced engineers informally through strong engineering practice and clear reasoning - Raise the quality of team decisions by bringing evidence, research, customer context, and practical trade-off analysis - Communicate complex AI, security, and architecture concepts clearly to technical and non-technical stakeholders - Collaborate with product, security, solution engineering, and customer-facing teams to ensure product capabilities address real customer workflows - Demonstrate ownership, proactiveness, customer obsession, and ability to operate effectively in ambiguity **Qualifications:** - Experience: 5+ years of professional experience in AI engineering and software engineering. - 3+ years of hands-on experience building AI/ML, LLM-based, automation, data-driven, or intelligent software systems. - Experience building production software, not only prototypes or notebooks. - Experience working in product engineering teams or delivering customer-facing technical solutions. **AI Engineering:** - Strong practical experience with LLM applications, AI workflow automation, AI assistants, copilots, or agentic AI systems. - Familiarity with concepts such as: prompt engineering, system prompts and instruction design, retrieval-augmented generation, vector search, embeddings, tool calling, function orchestration, context management, agent memory, evaluation datasets, model benchmarking, feedback loops - Experience with agentic AI frameworks or tools such as: LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, vector databases, knowledge graphs, model evaluation frameworks - Ability to evaluate AI outputs objectively and improve quality, safety, reliability, latency, and cost. - Experience using commercial or open-source AI models and APIs. - Demonstrated ability to use AI tools in everyday work for coding, debugging, research, documentation, testing, or productivity improvement. **Software Engineering:** - Strong programming ability in two or more languages such as: Python, TypeScript / Node.js, Go, Java, Rust - Strong understanding of software architecture, API design, data modeling, distributed systems, asynchronous processing, observability, and maintainability - Experience building backend services, APIs, data pipelines, integrations, or cloud-native applications. - Familiarity with web applications, distributed systems, databases, CI/CD pipelines, logging, monitoring, and automated testing. - Ability to write clean, maintainable, secure, and production-ready code. - Experience participating in design reviews, code reviews, and production troubleshooting. **Cybersecurity and Secure AI Awareness:** - Working knowledge of cybersecurity principles, secure software development, and common vulnerabilities. - Ability to assess security implications of AI-enabled workflows and software architecture decisions. - Interest and ability to deepen cybersecurity domain expertise quickly. - Awareness of AI-specific security risks, including prompt injection, data leakage, hallucination, adversarial inputs, unsafe tool execution, and excessive permissions. **Cloud and Infrastructure:** - Experience developing or deploying applications on cloud platforms such as AWS and/or Microsoft Azure. - Familiarity with containers, serverless services, managed databases, event-driven systems, queues, object storage, and cloud identity concepts. - Understanding of observability, deployment automation, environment configuration, and operational reliability. - Awareness of cloud security principles, IAM, secrets management, and secure configuration. **Leadership Qualities:** - Strong ownership mindset and accountability for outcomes. - Proactive approach to identifying problems and proposing solutions. - Customer-obsessed mindset with focus on practical user value. - Comfortable dealing with ambiguity and evolving requirements. - Strong analytical and problem-solving skills. - Clear written and verbal communication skills. - Strong habit of continuous learning, experimentation, and knowledge sharing. - Ability to work independently and collaborate effectively in a small, fast-moving team. For more fresh new jobs, check out [yubhub.co](https://yubhub.co/). ## Skills ### Required - AI engineering - software engineering - cybersecurity - cloud computing - LLM applications - agentic AI systems - retrieval-augmented generation - tool orchestration - context management - model evaluation - cloud-native software engineering - APIs - secure software development ### Nice to have - Advanced degree (Master’s degree or Ph.D.) in computer science or related fields - Experience building AI agents, LLM applications, copilots, automation systems, or RAG-based products - Experience with cybersecurity products, security automation, SOC tools, SIEM/SOAR integrations, cloud security platforms, identity security, threat intelligence, or incident response workflows - Familiarity with AI security risks, including prompt injection, data leakage, hallucination, unsafe tool use, and adversarial inputs - Experience with evaluation methods for LLM systems, including golden datasets, human review workflows, offline evaluation, online evaluation, and regression testing - Experience with Kubernetes, infrastructure as code, observability platforms, secrets management, or cloud-native security - Familiarity with security frameworks such as MITRE ATT&CK, OWASP, NIST Cybersecurity Framework, CIS Controls, or ISO 27001 --- Source: [Apply at visa.wd5.myworkdayjobs.com](https://visa.wd5.myworkdayjobs.com/en-US/Visa/job/SG---Singapore/Staff-Software-Engineer_REF084670W-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)