обновлено 11 часов назад
Staff Software Engineer (AI Engineer)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI Engineer) (LLM/Cybersecurity): Building production-grade agentic AI products for enterprise security teams, including threat investigation, alert triage, security workflow automation, and vulnerability analysis with an accent on LLM applications, RAG, tool orchestration, and secure cloud-native engineering. Focus on designing reliable AI systems, evaluating model quality and safety, integrating cybersecurity workflows, and scaling backend services, APIs, data pipelines, and operational infrastructure.
Location: Singapore; at least 3 days in the office
Company
is a global payments technology company facilitating transactions among consumers, merchants, financial institutions, and government entities.
What you will do
- Design and build agentic AI products for cybersecurity operations, threat investigation, alert triage, vulnerability analysis, and security workflow automation.
- Convert ambiguous product ideas and prototypes into secure, maintainable, production-grade AI systems.
- Develop backend services, APIs, integrations, AI orchestration, data pipelines, and cloud-native components.
- Research and evaluate emerging AI technologies, translating findings into product features, implementation patterns, and technical standards.
- Support deployment, monitoring, debugging, CI/CD, automated testing, and operational reliability at scale.
- Provide technical guidance through design discussions, code reviews, documentation, mentoring, and collaboration with product, security, solution engineering, and customer-facing teams.
Requirements
- 5+ years of professional AI and software engineering experience, including 3+ years building production AI/ML, LLM-based, automation, data-driven, or intelligent systems.
- Hands-on experience with LLM applications, agentic AI, prompt engineering, RAG, vector search, embeddings, tool calling, context management, agent memory, and model evaluation.
- Strong programming ability in at least two languages such as Python, TypeScript/Node.js, Go, Java, or Rust.
- Experience with backend services, APIs, data pipelines, distributed systems, cloud-native applications, databases, CI/CD, observability, and automated testing.
- Working knowledge of cybersecurity, secure software development, AI security risks, cloud security, IAM, secrets management, and secure configuration.
- Experience with AWS and/or Microsoft Azure, containers, event-driven systems, managed databases, queues, object storage, and deployment automation.
Nice to have
- Experience with LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, vector databases, knowledge graphs, or LLM evaluation frameworks.
- Experience with cybersecurity products, SOC tools, SIEM/SOAR integrations, cloud security, threat intelligence, or incident response workflows.
- Advanced degree in computer science or a related field.
- Experience with Kubernetes, infrastructure as code, observability platforms, secrets management, and cloud-native security.
- Familiarity with MITRE ATT&CK, OWASP, NIST Cybersecurity Framework, CIS Controls, or ISO 27001.
Culture & Benefits
- Hands-on individual contributor role in a newly formed product development team.
- Work on customer-facing cybersecurity AI products with global impact.
- Environment focused on ownership, experimentation, continuous learning, knowledge sharing, and practical customer value.
- Regular office presence in Singapore is required, with at least 3 days per week in the office.
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