Production AI Engineer: End-to-End ML & Vision

Faktion | AI Solutions & Advisory; Antwerpen; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Company car

Fuel card

Mobility budget

Hospitalisation

Group insurance

Laptop

Smartphone

Innovation budget

Team-building

Job summary

Faktion is hiring an AI Engineer to deliver production-grade AI solutions across industries. You will design, build, and deploy AI-powered systems with Python, FastAPI, and Docker, collaborating with software engineers and product managers to drive measurable impact.

We seek hands-on experts in GenAI, ML, vision, or multi-agent systems, who can translate customer problems into concrete architectures, implement robust backends, and contribute to MLOps pipelines and evaluation frameworks.

Qualifications

• Degree in Computer Science, AI, ML, or related field; Masters/PhD is a strong plus.
• Hands-on experience building and deploying AI systems (GenAI, ML, CV).
• Proficiency in Python and relevant frameworks; cloud deployment experience.
• Experience with ML Ops and end-to-end AI backends.

Responsibilities

• Design and implement end-to-end AI solutions across GenAI, ML, CV, and agents.
• Translate customer problems into technical architectures and align with objectives.
• Develop production-ready AI backends using Python, FastAPI, and Docker.
• Build evaluation pipelines and LLM-as-a-Judge agents for QA.
• Develop MLOps pipelines including data preprocessing, training, and monitoring.
• Research latest AI advancements and apply to customer use cases.
• Collaborate with cross-functional teams and document technical specs.

Skills

Problem solving

Communication

Proactive mindset

Independent work

Team collaboration

Education

Bachelor in Computer Science/AI/ML

Master or PhD preferred

Tools

Python

PyTorch

TensorFlow

OpenCV

LangChain

LangFuse

Docker

FastAPI

Azure

Job description

Faktion is hiring an AI Engineer to deliver production-grade AI solutions across industries. You will design, build, and deploy AI-powered systems with Python, FastAPI, and Docker, collaborating with software engineers and product managers to drive measurable impact.

We seek hands-on experts in GenAI, ML, vision, or multi-agent systems, who can translate customer problems into concrete architectures, implement robust backends, and contribute to MLOps pipelines and evaluation frameworks.