Our client is a growing AI consultancy helping organisations successfully adopt, implement, and scale Artificial Intelligence solutions.

Their work covers the full AI lifecycle, including:

- AI Training & Upskilling
- AI Strategy Consulting
- AI Software Development#

Working with clients across a range of industries, they support organisations from initial AI adoption and education through to the delivery of production-ready AI applications.

The Opportunity

Our client is looking for an AI Engineer to join their expanding team and lead the development of innovative AI solutions for enterprise customers.

This role is idóneo for someone who combines strong software engineering expertise with hands-on AI and Machine Learning experience. You'll be involved in designing solution architectures, building production-grade AI systems, and working directly with clients to deliver measurable business value.

Key Responsibilities

- Translate business requirements into scalable AI solution architectures.
- Design and develop proof-of-concepts and prototypes to validate ideas quickly.
- Build, deploy, and maintain production-grade AI and Generative AI solutions.
- Lead the delivery of complex AI projects from concept through to deployment.
- Work closely with stakeholders to gather requirements and understand business processes.
- Identify relevant data sources and define technical approaches.
- Present solutions and recommendations to both technical and non-technical audiences.
- Design secure, scalable, and maintainable software architectures.
- Collaborate with engineers, consultants, and business stakeholders throughout project delivery.
- Contribute to code reviews, engineering standards, and technical best practices.
- Mentor junior team members and share knowledge across the engineering function.

Required Experience





- 3+ years of experience delivering AI/ML solutions into production environments.
- Strong Python development skills and software engineering fundamentals.
- Experience building applications using Large Language Models (LLMs).
- Hands-on experience with frameworks such as LangChain, LlamaIndex, or similar.
- Proven track record of deploying scalable AI applications.
- Experience working with cloud platforms and AI services (Azure preferred).
- Strong understanding of software architecture, APIs, microservices, and distributed systems.
- Experience with Git, CI/CD pipelines, testing, and software development best practices.
- Knowledge of MLOps tooling such as MLflow, Kubeflow, Terraform, or similar.
- Comfortable working in client-facing environments and engaging with stakeholders.

Desirable Experience

- Experience with Agentic AI frameworks such as LangGraph, CrewAI, or AutoGen.
- Previous consultancy or professional services experience.
- Experience delivering GenAI-focused applications.
- Dutch and/or French language skills.

What They're Looking For

Successful candidates will typically demonstrate:

- Strong software engineering capabilities alongside AI expertise.
- Experience taking ownership of projects from design through to deployment.
- A pragmatic approach to solving business problems with AI.
- Excellent communication and stakeholder management skills.
- A passion for emerging AI technologies and continuous learning.

Package

- Competitive salary based on experience.
- Straightforward benefits package.
- Flexible engagement options, including permanent and freelance contracts.
- Hybrid working environment.
- Exposure to a wide variety of AI and GenAI projects across multiple industries.

If you're looking to join a consultancy where you'll work directly with clients, build cutting-edge AI solutions, and have a genuine impact on AI adoption initiatives, I'd be keen to discuss the opportunity further.

📌 Artificial intelligence engineer (España)
🏢 Koda Tech
📍 España