Senior AI Engineer

Must be an EU Citizen / have authorization to work in the EU and travel on-site occasionally

Contract Duration: 6–12 months

Rate: Negotiable

Employment Type: Contract

Role Overview

We are seeking an experienced Senior AI Engineer to design, develop, and deploy advanced AI solutions within the financial services sector. The successful candidate will play a key role in building production-ready AI applications, developing Generative AI capabilities, and integrating machine learning models into enterprise systems.

This role suits a hands-on AI professional with strong software engineering skills, experience building and deploying AI models, and the ability to translate complex business requirements into scalable, secure, and reliable AI solutions.

Key Responsibilities

• Design, develop, test, and deploy AI and machine learning solutions for enterprise applications.
• Build and optimise Generative AI applications using large language models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.
• Develop and maintain production-grade AI pipelines and model-serving infrastructure.
• Implement AI-driven solutions for financial services use cases, including fraud detection, risk analysis, customer intelligence, and process automation.
• Develop APIs and integrate AI models into existing applications and enterprise platforms.
• Work with large and complex datasets to train, fine-tune, evaluate, and optimise AI models.
• Implement vector search, embeddings, prompt engineering, and retrieval pipelines.
• Collaborate with AI architects, data engineers, software developers, and business stakeholders to deliver end-to-end AI solutions.
• Apply MLOps and LLMOps practices to automate model deployment, monitoring, versioning, and performance optimisation.
• Ensure AI applications meet requirements for scalability, reliability, security, and responsible AI.
• Troubleshoot production issues and continuously improve model performance, accuracy, latency, and cost efficiency.

Required Skills and Experience

• Proven experience as a Senior AI Engineer, Machine Learning Engineer, or in a similar technical role.
• Strong programming skills in Python , including experience developing production-grade applications.
• Practical experience with Generative AI, LLMs, RAG architectures, and AI agent development.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Knowledge of LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex.
• Experience working with vector databases, embeddings, semantic search, and information retrieval.
• Strong understanding of REST APIs, microservices, software engineering principles, and system integration.
• Experience deploying AI solutions on cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Familiarity with Docker, Kubernetes, CI/CD, and automated testing.
• Knowledge of MLOps and LLMOps, including model evaluation, monitoring, and deployment.
• Experience with data processing, SQL, data pipelines, and integrating structured and unstructured data.
• Strong problem-solving skills and the ability to work independently in a fast-paced environment.
• Experience within banking, financial services, fintech, or insurance.
• Knowledge of fraud detection, credit risk, financial forecasting, or customer analytics.
• Experience fine-tuning open-source or commercial LLMs for enterprise use cases.
• Familiarity with AI evaluation frameworks, guardrails, observability, and prompt optimisation.
• Experience with Snowflake, Databricks, or other modern data platforms.
• Understanding of GDPR, the EU AI Act, and responsible AI practices.
• Experience optimising AI applications for production performance, scalability, and cost.
• Location: Amsterdam, Netherlands
• Duration: Initial contract of 6–12 months
• Rate: Negotiable, depending on experience and technical expertise
• Start Date: To be confirmed
• Working Arrangement: To be confirmed

Ideal Candidate

The ideal candidate is a hands-on AI engineer who can take AI solutions from concept to production. They should have strong Python development skills, practical experience building LLM-powered applications, and a solid understanding of deploying and maintaining AI systems at scale.

Experience working with financial services data, enterprise AI applications, or regulated environments will be advantageous.