Who are we:

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at www.neotalentconclusion.com.

Role Overview

We are looking for a Senior AI Engineer to integrate one of our Nearshore teams working remotely for international clients accross The Netherlands, Germany and other European countries.

In this role, you will take AI and machine learning solutions from development to production, building scalable, reliable, and secure AI systems. You will bridge the gap between Data Science and production environments, working with modern cloud platforms and cutting-edge GenAI technologies to deliver impactful, end-to-end solutions.

What you will do

• Operationalise AI/ML models and GenAI applications using tools such as Azure ML, MLflow, Databricks, and Kubeflow;
• Build and maintain production-grade AI services and APIs in Python (e.g. FastAPI), including testing, versioning, and deployment strategies;
• Design and implement GenAI solutions (RAG pipelines and agent-based systems) using frameworks such as LangChain and Hugging Face;
• Improve retrieval quality and performance through optimisation techniques (chunking, hybrid search, reranking, metadata filtering);
• Define and implement LLM evaluation frameworks, quality gates, and SLOs for latency, cost, and accuracy;
• Implement monitoring and observability for AI applications, including tracing, prompt management, and troubleshooting;
• Design secure and governed AI solutions, including guardrails, prompt injection protection, and data security controls;
• Deploy and manage LLM serving infrastructure and integrations with providers such as Azure OpenAI and others;
• Contribute to MLOps and LLMOps pipelines (CI/CD, model lifecycle, canary releases) and data pipelines (e.g. Airflow, dbt, Spark);
• Work with containers and orchestration (Docker, Kubernetes/AKS) and infrastructure as code tools;
• Collaborate with cross-functional teams to deliver end-to-end AI solutions and share best practices.

What you are like

• Highly experienced in AI/ML engineering and delivering production-grade solutions (MLOps/LLMOps);
• Proficient in Python and modern AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn;
• Experienced with Azure cloud services and AI platforms (Azure ML, Azure DevOps, Functions);
• Skilled in containerisation and orchestration using Docker and Kubernetes (AKS);
• Knowledgeable in CI/CD practices and Infrastructure as Code (Terraform, Bicep, or Pulumi);
• Hands-on experience with GenAI technologies (RAG, LLMs, LangChain, vector databases);
• Familiar with LLM evaluation, prompt engineering, and observability tools;
• Strong communicator able to engage both technical and non-technical stakeholders;
• Have good communication skills in English - as you waill collaborate daily with international teams.

Why join us

• Work on challenging projects for big clients
• Learn more about emerging technologies
• Possibility of working remotely
• Design your career plan
• Access to continuous training and certifications
• Evolve through our internal mobility program
• … and much more!

To apply:

Please send your CV to Candidatura Online with BDP_AI in the email subject.