Senior Specialist, AI Engineer

AIA Hong Kong and Macau; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

AIA Hong Kong and Macau seeks a Senior AI Engineer in Singapore to design and deploy cutting-edge AI solutions for healthcare and insurance.

The ideal candidate will have 8–10 years of experience and advanced skills in NLP, with a focus on building production systems. Responsibilities include delivering NLP solutions, collaborating with various stakeholders, and advocating for responsible AI practices.

Qualifications

• 8–10 years experience building production systems, with 2–3 years in NLP/LLM or applied ML engineering.
• Advanced experience with PyTorch, Hugging Face, TensorFlow, Transformer architectures.
• Knowledge of MLOps and observability tools like Langfuse.

Responsibilities

• Architect and deliver NLP/LLM solutions translating business workflows into specifications.
• Lead end‑to‑end delivery: design, build, test, deploy and monitor.
• Build and maintain RAG pipelines and embed selection strategies.

Skills

Python/Pyspark

SQL

NLP/LLM

Machine Learning

Problem-solving

Software Engineering

Communication

Education

Bachelor’s or Master’s degree in computer science or related field

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

Senior AI Engineer (Specialist) – A pivotal role in designing, developing, and deploying GenAI/LLM, NLP and agentic AI solutions for healthcare, insurance and wellness.

Responsibilities

• Architect and deliver NLP/LLM solutions (RAG, classification, extraction, summarisation, routing, agents) translating business workflows into design specifications.
• Lead end‑to‑end delivery: design → build → test → deploy → monitor → iterate, setting SLAs/SLOs, latency budgets, accuracy targets, and cost ceilings.
• Build and maintain RAG pipelines, embed selection, indexing, retrieval, grounding, citations and fallback strategies.
• Develop prompt schemas and agent workflows (function calling, tool routing, memory patterns, multi‑step logic).
• Create and maintain evaluation harnesses (offline test sets, golden data, regression suites, human‑in‑the‑loop reviews, LLM‑as‑judge).
• Define and track quality metrics: groundedness, faithfulness, toxicity/safety, extraction accuracy, retrieval precision/recall, task success rates, and guardrails.
• Productionise services using Docker, Kubernetes, CI/CD, and implement observability (structured logging, tracing, vector‑DB metrics, cost monitoring).
• Collaborate with actuaries, clinicians, engineers, and product managers to align solutions with strategic objectives and facilitate workshops.
• Advocate responsible AI: fairness, explainability, bias detection, PHI/PII handling, and maintain audit trails for compliance.

Qualifications & Experience

• Bachelor’s or Master’s degree in computer science, engineering, machine learning, NLP, or related field.
• 8–10 years experience building production systems, with 2–3 years in NLP/LLM or applied ML engineering.
• Strong proficiency in Python/Pyspark, SQL, and large‑scale data handling.
• Advanced experience with PyTorch, Hugging Face, TensorFlow, Transformer architectures, and LLM/Gemini frameworks.
• Hands‑on expertise in RAG pipelines using vector databases such as Pinecone, Milvus or Weaviate.
• Experience architecting multi‑agent systems with LangChain, LangGraph, LlamaIndex, or CrewAI.
• Solid software engineering fundamentals: clean architecture, unit/integration testing, CI/CD, containerisation and cloud platforms (AWS/GCP/Azure).
• Knowledge of MLOps and observability tools (Langfuse, Weights & Biases, PromptLayer).
• Familiarity with GDPR/PII/HIPAA‑style privacy requirements and responsible AI principles.
• Strong analytical rigor, problem‑solving ability, and capability to trade off accuracy, fairness, latency, and interpretability.
• Excellent communication and cross‑functional influence skills.

We are looking for a candidate who thrives in a fast‑paced, agile environment and is passionate about leveraging data to solve real‑world healthcare challenges.