Lead AI Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Lead AI Engineer (AI Engineering): Designing and delivering production AI systems for an insurance automation platform with an accent on AI orchestration, inference pipelines, and scalability. Focus on building reliable production-grade systems, integrating LLMs into business workflows, and optimizing system latency and reliability.
Location: Hybrid (Malaysia)
Company
is Southeast Asia's largest digital insurance platform, leveraging AI and automation to simplify insurance and financial services for millions of users.
What you will do
- Lead the design and development of production AI systems powering insurance workflow automation.
- Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
- Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies.
- Drive engineering decisions around latency, reliability, cost, and scalability of AI services.
- Lead implementation of observability systems including logging, monitoring, and tracing.
- Mentor engineers and define engineering standards for AI system development.
Requirements
- Strong backend or AI engineering experience in production environments.
- Experience building or scaling AI systems such as LLMs, embeddings, or recommendation systems.
- Strong system design skills with experience in distributed systems.
- Experience with production inference pipelines and AI orchestration.
- Strong debugging ability in high-scale, latency-sensitive environments.
- Must be based in Malaysia for a hybrid work arrangement.
Culture & Benefits
- High-ownership culture with a focus on technical excellence and speed of execution.
- Collaborate within a global engineering organization with international impact.
- Learning and development budget to support continuous technical growth.
- Competitive compensation package.
- Hybrid work arrangement based in Malaysia.
Hiring process
- Technical evaluation by team members.
- 3 to 4 interviews conducted via virtual meetings and/or onsite.
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