Senior AI Engineer – GenAI & Production ML (FinServ)

DevologyX; Belgique; On-site; EUR 90,000 - 150,000; Full time

Job summary

DevologyX is seeking a hands-on Senior AI Engineer to design, build, and deploy production-ready AI solutions for enterprise financial services. You will develop Generative AI capabilities, integrate ML models, and implement MLOps practices.

You will work with Python, cloud platforms, and modern data tools to deliver scalable, secure AI applications, including fraud detection, risk analysis, and process automation, on a contract basis in Amsterdam with occasional on-site travel.

Qualifications

• Hands-on senior AI engineer with production-grade experience.
• Strong software engineering foundations and ability to translate business needs into scalable AI solutions.
• Experience deploying AI systems in regulated environments is a plus.
• Familiarity with MLOps and model monitoring is essential.

Responsibilities

• Design, develop, test, and deploy AI/machine learning solutions for enterprise apps.
• Build Generative AI apps using LLMs, RAG, and AI agents.
• Develop production-grade AI pipelines and model-serving infra.
• Implement AI-driven solutions for financial services use cases (fraud, risk, analytics).
• Develop APIs and integrate models into existing platforms.
• Work with large datasets to train, fine-tune, and evaluate models.
• Implement vector search, embeddings, and retrieval pipelines.
• Collaborate with architects, data engineers, and business stakeholders.
• Apply MLOps/LLMOps for deployment, monitoring, and versioning.

Skills

Problem solving

Independent worker

Fast-paced environment

Team collaboration

Tools

Python

Docker

Kubernetes

Cloud platforms

REST APIs

LangChain / LLM orchestration

Snowflake / Databricks

PyTorch / TensorFlow / Scikit-learn

Job description

DevologyX is seeking a hands-on Senior AI Engineer to design, build, and deploy production-ready AI solutions for enterprise financial services. You will develop Generative AI capabilities, integrate ML models, and implement MLOps practices.

You will work with Python, cloud platforms, and modern data tools to deliver scalable, secure AI applications, including fraud detection, risk analysis, and process automation, on a contract basis in Amsterdam with occasional on-site travel.