Senior MLOps Engineer

LLMOps / MLOps Engineer

You make AI systems reliable, observable, and maintainable in production — closing the gap between a working demo and a system that still works six months later.

Remote (Portugal) - Full-time · 40h/week - Near.U

About Us

We are Near.U, Moongy nearshore center of competences in Portugal, we strive to develop our solutions by observing the best practices of our craft this means writing testable, performant, easy to maintain and constantly improving code, while enabling our company to iterate our product fast and stay ahead.

We are looking for an LLMOps / MLOps Engineer to join a fast-growing AI consultancy based in Amsterdam.

About the Position

Our client builds AI solutions that need to keep working after go-live — agents running 24/7, knowledge systems queried hundreds of times a day, automations embedded in client operations across the Netherlands.

You will join as a nearshore LLMOps Engineer, owning the infrastructure layer: CI/CD for AI, prompt versioning, model evaluation pipelines, and the monitoring that keeps everything running in production.

What you'll own

• CI/CD pipelines for LLM-based systems — test, version, deploy, rollback
• Prompt management and versioning across multiple client deployments
• Evaluation infrastructure: automated quality scoring, hallucination detection, latency tracking
• Model monitoring in production — drift detection, cost alerts, output quality dashboards
• Container orchestration and cloud infrastructure for AI workloads on Azure
• Tooling that makes the rest of the engineering team faster and safer

What we're looking for

• 3+ years in MLOps, DevOps, or platform engineering — ideally with LLM systems in the last 12–18 months
• Solid with Docker, Kubernetes, and Azure cloud infrastructure

Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• Experience with MLflow, Weights & Biases, or LangSmith for experiment tracking and evaluation
• You've built evaluation pipelines for LLM outputs — not just accuracy, but output quality
• Python scripting is comfortable; full-stack development is not required
• You care about reliability the way a good engineer cares about clean code
• Working proficiency in English is a must have — you'll collaborate directly with Dutch-side teams

Technology Stack

Cloud & Platform

• Microsoft Azure
• Azure Kubernetes Service (AKS)
• Azure DevOps
• Terraform
• Helm / Kubernetes manifests

AI & Data

• Azure OpenAI Service
• LLMs in production
• RAG pipelines
• Vector databases (Weaviate, Milvus, Pinecone)
• Embeddings & reranking techniques

Development

• Python

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• MLflow / Weights & Biases
• LangSmith
• Prometheus / Grafana
• Git-based workflows

Security & Governance

• Azure API Management
• Azure AI Content Safety
• Security trimming & ACL propagation

Location & Travel

This role is fully remote in Portugal. Initial and periodic travel to the client's Amsterdam office may be required to support onboarding and key project milestones.

What We Offer

• Competitive compensation benchmarked to the Dutch AI consultancy market.
• Direct exposure to a high-growth AI consultancy building real solutions for established Dutch companies.
• A technically demanding environment — production AI infrastructure, real clients, genuine engineering ownership.
• Access to the Near.U Academy — continuous learning, certifications, and upskilling programmes.
• Close collaboration with NearU's engineering and talent teams throughout your engagement.
• Career growth within NearU's network of 40+ companies across 14 countries and 8,000+ professionals.

Moongy Group is an Equal Opportunity employer. All applicants will be considered without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.