Data & AI - Artificial Intelligence Engineer
Core
Design, build, and operate agentic and generative AI solutions (including RAG, copilots, and multi-agent workflows) for regulated clients in healthcare, life sciences, and technology sectors.
Role type
Manager-level hands-on AI Engineer (MLOps & Agent Ops)
Builds
Production-ready AI agents, generative systems, and MLOps infrastructure for enterprise clients
Domain
Artificial Intelligence / Machine Learning Operations / Enterprise Software
Required skills
Python, MLOps, LLM Ops, Agent Ops, Model Selection, RAG, Vector Databases, Containerization, CI/CD, Prompt Engineering, Security Controls
Preferred skills
Experience with frontier models (Anthropic, OpenAI, Google), open-weight models (Llama, Gemma, Phi), regional APAC models, LangGraph/LangChain, Kubernetes, GitHub Actions
Technologies
Python, LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, Docker, Kubernetes, GitHub Actions, Pinecone, Weaviate, Qdrant, pgvector
Responsibilities
Design and engineer agentic/generative AI systems; own deployment, serving, and production run-state (monitoring, drift detection, retraining); integrate AI into enterprise systems; evaluate and select frontier/open-weight models; establish MLOps/LLMOps standards; mentor junior engineers; embed security and audit controls
Seniority
Manager, hands-on IC with team leadership
