Senior AI Engineer - BILLIGENCE ASIA PTE. LTD.

Roles & Responsibilities

Minimum 5 years’ experience leading the design, development, and deployment of scalable AI / ML and GenAI solutions.

Key Responsibilities

• Architect and develop scalable GenAI pipelines, APIs, and microservices for real-time and batch AI applications using frameworks such as FastAPI, Ray, or LangServe.
• Design robust prompt strategies for instruction-following, reasoning, and multi-turn conversations, with a focus on RAG architectures for personalized, domain-specific use cases.
• Lead embedding model selection and tuning to optimize semantic search and RAG performance.
• Oversee LLM Ops workflows, including model orchestration, evaluation, deployment, rollback strategies, and monitoring in production environments.
• Drive model fine-tuning efforts to customize LLMs for proprietary datasets and regulated industries.
• Establish and govern AI testing frameworks, covering functional testing, regression testing, hallucination detection, safety filters, and output quality assessment.
• Implement enterprise-grade observability, lineage tracking, and CI / CD automation using tools such as MLflow, Databricks, Azure ML, or Vertex AI .
• Lead continuous improvement initiatives based on telemetry, user feedback, and cost-performance trade-offs.
• Demonstrate expertise in Python , with deep proficiency in GenAI frameworks, vector search systems, and MLOps toolchains.

Qualifications

Tell employers what skills you have

TensorFlow

Machine Learning

Azure

Pipelines

Architect

Regression Testing

Agile

Microservices

Tuning

PyTorch

Python

Telemetry

Vertex

Data Science

Orchestration

FastAPI