AI/ML Engineer

RemoteJobsOne; Amsterdam; Remote; EUR 176,000 - 309,000; Full time

Job summary

RemoteJobsOne is seeking an AI/ML Engineer to join our fully remote team serving government initiatives. You will design and deploy production-grade AI/ML models, leverage LLMs, RAG, and multi-agent orchestration to deliver secure, scalable ML systems across cloud environments.

Strong Python expertise, experience with LangGraph/LangChain, and familiarity with AWS GovCloud, Vertex AI, and other regulated clouds are required.

Qualifications

• Proficiency in Python for AI/ML development and REST APIs integration.
• Hands-on experience with LLMs, RAG systems, and prompt engineering in production.
• Knowledge of multi-agent orchestration and tools like LangGraph and LangChain.
• Deep understanding of cloud AI services (GovClouds, Vertex AI, Bedrock).
• Experience building data pipelines, ontologies, metadata catalogs, and ETL.
• Strong secure coding practices and modern CI/CD workflows.
• Excellent written and verbal communication for collaboration.

Responsibilities

• Design, implement, and optimize AI/ML models leveraging LLMs and RAG.
• Develop and orchestrate multi-agent systems using LangGraph and LangChain.
• Deploy solutions on secure cloud environments including GovClouds and Vertex AI.
• Build data pipelines, ETL processes, and metadata catalogs for AI training.
• Create and maintain REST APIs and SDK integrations for data/model access.
• Collaborate with product, security, and engineering teams following secure DevOps.

Skills

Python

LLMs

RAG

LangGraph

LangChain

REST APIs

Cloud services

CI/CD

Documentation

Tools

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

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 Netherlands.

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.