Senior AI Engineer
Core
Design and deliver advanced, end-to-end AI solutions addressing complex enterprise challenges across the APAC region, combining hands-on engineering with technical leadership in a customer-facing environment.
Role type
Senior IC AI Engineer (LLM & Agentic Systems)
Builds
Agentic AI systems, multi-agent frameworks, LLM-powered applications, scalable backend services, APIs, ML pipelines, and LLMOps infrastructure.
Domain
Enterprise AI, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, AWS/Azure/GCP, Kubernetes, REST APIs, Docker, CI/CD, RAG, fine-tuning, prompt engineering, RLHF, model evaluation, guardrails
Preferred skills
Kaggle participation, AutoML, tabular foundation models, document AI, regulated industry experience (finance/healthcare), customer-facing engineering or pre-sales
Technologies
LangChain, LlamaIndex, PyTorch, TensorFlow, scikit-learn, AWS, Azure, GCP, Kubernetes, Docker
Responsibilities
Lead complex technical engagements with enterprise customers; Manage multiple concurrent workstreams and cross-functional teams; Act as primary technical escalation point; Build agentic AI systems and multi-agent frameworks; Design and deploy LLM-powered applications using RAG and fine-tuning; Implement AI guardrails and evaluation frameworks; Own the full AI development lifecycle from problem framing to production deployment; Build scalable backend services and LLMOps infrastructure; Integrate AI solutions into cloud, on-premises, and hybrid environments; Mentor junior engineers and lead technical demonstrations.
Seniority
Senior, hands-on IC with leadership responsibilities