Hybrid AI Engineer: Production ML & LLMs

ASAP Staffing Ltd; Amsterdam; Hybrid; EUR 75,000 - 110,000; Full time

Benefits offered by this job

Hybrid working model

Exposure to real production-scale AI

Job summary

ASAP Staffing Ltd. is seeking AI Engineers across the full spectrum of AI/ML work in the Netherlands. Roles include model development, deployment, and production infrastructure for real-world applications, with emphasis on ML/DL modelling, LLMs, NLP, computer vision, and MLOps.

You may work on data pipelines, RAG-enabled apps, and production-ready AI systems while collaborating with product, data, and engineering teams. Open to juniors through senior levels, with hybrid flexibility.

Qualifications

• Open from strong juniors (1–2 yrs) to senior/lead (10+ yrs).
• Please specify your seniority and area of specialization in your application.

Responsibilities

• Design, train, and evaluate ML/DL models for real product use cases.
• Build and deploy LLM-powered applications (RAG, agents, fine-tuning, prompt engineering).
• Create data pipelines and infrastructure to support ML systems at scale.
• Take models from research to production (optimization, latency, reliability).
• Apply MLOps practices: CI/CD, containerization, monitoring, versioning.
• Collaborate with product, data, and engineering teams to translate business needs into AI solutions.
• Evaluate models, run experiments, and improve performance based on data.

Skills

Python

SQL

Java

C++

R

PyTorch

TensorFlow

Scikit-learn

HuggingFace Transformers

LangChain

Pandas

NumPy

Tools

Databricks

Spark

FAISS

Pinecone

Milvus

pgvector

Job description

ASAP Staffing Ltd. is seeking AI Engineers across the full spectrum of AI/ML work in the Netherlands. Roles include model development, deployment, and production infrastructure for real-world applications, with emphasis on ML/DL modelling, LLMs, NLP, computer vision, and MLOps.

You may work on data pipelines, RAG-enabled apps, and production-ready AI systems while collaborating with product, data, and engineering teams. Open to juniors through senior levels, with hybrid flexibility.