AI/ML Engineer

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

IMPORTANT: after you apply, please check your email. We send you a link to complete your application — it is not considered until that last step is done. If you do not see it, check your spam folder.

This is a fully remote position, open to candidates based in Singapore.

Pay: $200,000–$350,000/yr

Job Title: AI/ML Engineer

Job Type: Full-Time

About Us:

the company is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

Job Summary:

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to the company's proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities:

1. Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
2. Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
3. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
4. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
5. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
6. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
7. Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills and Qualifications:

1. Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
2. Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
3. Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
4. Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
5. Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
6. Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
7. Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications:

1. Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
2. Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
3. Prior exposure to government or highly regulated cloud environments and compliance standards.