AI Engineer Lead
Software Development Developer
Salary
Location
Benefits
Free lunch and Snacks
Performance bonus
Travel/company trips
Yearly salary review
Other benefits
13th month salary
Job Overview And Responsibility
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.
Required Skills and Experience
- 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.
Why Candidate should apply this position
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.
Preferred skills and experiences
- 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.
Report to
Senior Management
Interview process
1st round: Internal Technical Interview with Sr. SA -> 2nd round: Interview with CEO/CDO -> 3rd round: Interview with Client
Linh Hoàng Thị
Headhunter | Recruiter
-
391
candidates
-
17
interviews
-
1
offers
Apply for this job
Linh Hoàng Thị
Headhunter | Recruiter
-
391
candidates
-
17
interviews
-
1
offers
