AI Engineer Lead
Software Development Developer
Mức lương
Khu vực
Phúc lợi
Phụ cấp ăn uống
Thưởng chỉ tiêu
Du lịch/Công tác
Đánh giá lương hàng năm
Phúc lợi khác
Lương tháng 13
Tổng quan về công việc và trách nhiệm
We are looking for an AI Engineer Lead to lead the design and delivery of production-grade Generative AI solutions for a global financial services client. This is a hands-on technical leadership role that combines AI engineering, solution architecture, client collaboration, and team mentoring in a regulated environment. - Lead the architecture, development, and delivery of LLM applications, RAG pipelines, and agentic workflows for financial services use cases. - Own key technical decisions involving model selection, retrieval design, workflow architecture, integration, cost, and latency. - Build evaluation and regression-testing approaches and use output, trace, and failure analysis to improve solution quality. - Ensure solutions meet production requirements for reliability, security, observability, data protection, and auditability. - Translate business, risk, and compliance requirements into practical technical solutions with client and internal stakeholders. - Mentor engineers and establish reusable AI engineering standards, patterns, and development practices.
Kỹ năng và kinh nghiệm tối thiểu
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience. - 7+ years of professional software or AI engineering experience, including recent hands-on experience delivering Generative AI applications to production. - Strong Python and software engineering fundamentals, including system design, APIs, testing, debugging, and technical documentation. - Have experience leading team and working directly with client side - Hands-on experience with RAG, embeddings, vector databases, hybrid retrieval, reranking, and data-grounding techniques. - Experience designing agentic workflows with tool calling and at least one major AI framework such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent. - Experience with AI evaluation, error analysis, regression testing, tracing, and production monitoring. - Practical experience with cloud platforms, containers, CI/CD, databases, and production observability. - Understanding of AI security risks, including prompt injection, data leakage, access control, and guardrails. - Practical knowledge of banking, fintech, payments, lending, risk, compliance, or another financial-services domain. - Experience leading or mentoring engineers, working with client stakeholders, and communicating effectively in English.
Tại sao ứng viên nên làm ở đây
1. Workplace - Join a vibrant, young and dynamic team working on cutting-edge projects & emerging technologies. - Collaborate with global experts & top tech talent to enhance your skills. - Thrive in a culture of openness, forward-thinking and innovation-driven team while encouraging your full potential. 2. Benefits Comprise - Competitive salary, 13th month salary and attractive performance bonuses. - Flexible hybrid working model between working at office and working at home (WFH 2 days per week) - Premium Healthcare and Accident insurance. - Annual health check package. - Free parking and allowances: Lunch, Marriage, Newborn baby, Bereavement and others applied. - A spacious pantry that is fully equipped with coffee maker, fridge, microwave and more for your most comfortable lunch time. - A wide range of sport and social activities: Yoga, Football, Badminton, Tech clubs, etc. - Annual company trip and teambuilding. - Chance to be honored quarterly and annually with recognition awards for individuals, teams, long-term service, etc. - Advanced English and appropriate soft skills training to assist your career development. - Engaging monthly events: Happy Gathering, Mini Game, Team Birthday Celebrations, Company’s Year-end party, etc. - Exclusive company supporting funds to ease your personal loans of Home, Vehicle, Tuition, etc.
Ưu tiên có kỹ năng và kinh nghiệm
- Knowledge graphs, semantic layers, multi-agent systems, MCP, or multimodal AI. - Fine-tuning, model optimization, self-hosted LLMs, or large-scale cost and latency optimization. - AI governance, model risk, explainability, audit trails, KYC, or AML-related experience. - Kubernetes or experience supporting technical presales and estimation.
Báo cáo cho
Senior Management
Quá trình phỏng vấn
1st round: Internal Technical Interview with Sr. SA -> 2nd round: Interview with CEO/CDO -> 3rd round: Interview with Client
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