Remote AI/ML Engineer: LLMs, RAG & Multi-Agent Systems

RemoteJobsOne; Singapore; Remote; SGD 200,000 - 350,000; Full time

Job summary

RemoteJobsOne is seeking an AI/ML Engineer to advance production-grade ML systems and secure cloud deployments for government-focused projects. You will design, implement, and optimize models using LLMs, RAG, and multi-agent orchestration, collaborating with product, security, and engineering teams.

You will work with frontier AI platforms, integrate on secure cloud environments, and contribute to data pipelines, metadata catalogs, and APIs to enable scalable, trusted AI workflows.

Qualifications

• Proficiency in Python for AI/ML development.
• Experience with LLMs, RAG in production.
• Experience with multi-agent frameworks (LangGraph/LangChain).
• Knowledge of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Experience building data pipelines, metadata catalogs, and ETL processes.

Responsibilities

• Design, implement, and optimize AI/ML models leveraging LLMs, RAG, and prompt engineering for production-grade applications.
• Develop and orchestrate multi-agent systems using LangGraph and LangChain.
• Deploy solutions on secure cloud environments (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Build data pipelines, manage ETL, and develop metadata catalogs and ontologies for high-quality AI data.
• Create and maintain REST APIs and SDK integrations for data and model interactions.
• Collaborate with product, security, and engineering teams to enforce secure coding and DevOps practices (CI/CD).
• Document technical decisions and communicate complex concepts clearly to stakeholders.

Skills

Python

REST APIs

SDK integration

LLMs

RAG

Prompt engineering

LangGraph

LangChain

Cloud services

CI/CD

Data pipelines

ETL

Metadata catalogs

Secure coding

Tools

Vertex AI

AWS GovCloud

Google GovCloud

Azure IL5+

AWS Bedrock

Job description

RemoteJobsOne is seeking an AI/ML Engineer to advance production-grade ML systems and secure cloud deployments for government-focused projects. You will design, implement, and optimize models using LLMs, RAG, and multi-agent orchestration, collaborating with product, security, and engineering teams.

You will work with frontier AI platforms, integrate on secure cloud environments, and contribute to data pipelines, metadata catalogs, and APIs to enable scalable, trusted AI workflows.