Senior AI Engineers

My client is a global Fintech (specialising in Insurance Products) and they are looking for Senior AI Engineers to help build AI-native products that move beyond chat into intelligent, goal-driven workflows. This is a highly cross-functional role spanning product engineering, backend systems, AI infrastructure, and machine learning, where you'll turn cutting-edge AI capabilities into production-ready experiences used by real customers.

What You'll Do

Build and ship AI-powered product features across frontend, backend, and model layers.

Design and deploy AI agent workflows capable of planning, tool use, memory, multi-step execution, and failure recovery.

Build and operate scalable backend services, APIs, inference pipelines, and orchestration systems.

Integrate LLMs, retrieval systems, external tools, and ML models into reliable production applications.

Fine-tune, evaluate, and improve machine learning systems using real-world feedback and performance data.

Optimize latency, throughput, reliability, and cost across AI workloads.

Improve observability, monitoring, alerting, and incident response for AI systems in production.

Collaborate closely with product, engineering, and ML teams to deliver end-to-end solutions.

What We're Looking For

Strong software engineering experience across backend or full-stack development.

Proficiency in Python and experience building production-grade systems.

Experience working with LLMs, RAG systems, AI agents, or machine learning applications.

Strong understanding of system architecture, APIs, distributed systems, and cloud-native technologies.

Experience debugging and operating systems in production environments.

Ability to thrive in ambiguous, fast-moving environments and take ownership from concept to deployment.

Passion for building practical AI products that deliver measurable business impact.

Nice to Have

Experience training, fine-tuning, or deploying ML models.

Experience with GPU workloads, model evaluation, and inference optimization.

Familiarity with Kubernetes, Docker, vector databases, and modern AI infrastructure.

Tech Stack

Python • Node.js • Next.js • PyTorch/JAX • OpenAI • Anthropic • Open-Source LLMs • SQL/NoSQL • Kubernetes • Docker • GPU Infrastructure

Why Join Them?

You'll work across the entire AI stack, from models and infrastructure to product experiences, helping shape how intelligent systems interact with users in the real world. If you enjoy building, shipping, learning from production, and pushing AI beyond simple chat interfaces, we'd love to hear from you.

Apply now and help build the next generation of AI-native products.

Raymond Ler (R1876114)

JAC Recruitment Pte. Ltd. (90C3026)