Artificial Intelligence Engineer
Indexed description
About the Company
We are seeking an experienced AI Engineer to join an innovative team delivering enterprise AI and Generative AI solutions across Europe. You will work on designing, developing and deploying production-ready AI applications, collaborating with data, cloud and software engineering teams to build scalable solutions for global organisations.
About the Role
We are seeking an experienced AI Engineer to join an innovative team delivering enterprise AI and Generative AI solutions across Europe. You will work on designing, developing and deploying production-ready AI applications, collaborating with data, cloud and software engineering teams to build scalable solutions for global organisations.
Responsibilities
- Design, develop and deploy AI and machine learning solutions.
- Build and optimise Generative AI applications using Large Language Models (LLMs).
- Develop Retrieval-Augmented Generation (RAG) pipelines.
- Build AI agents and intelligent automation workflows.
- Develop scalable backend services using Python.
- Integrate AI solutions with enterprise data platforms and APIs.
- Work with vector databases and embedding models.
- Deploy applications using AWS, Azure or Google Cloud Platform.
- Monitor, evaluate and improve AI model performance.
- Work closely with cross-functional teams to deliver production-ready solutions.
Qualifications
- 3+ years' commercial experience in AI, Machine Learning or Data Engineering.
Required Skills
- Strong Python development skills.
- Experience with OpenAI, Anthropic, Mistral or open-source LLMs.
- Experience with LangChain, LangGraph, LlamaIndex or similar frameworks.
- Experience building RAG architectures.
- Knowledge of prompt engineering and AI evaluation techniques.
- Experience with SQL and data processing.
- Familiarity with Docker, Kubernetes and Git.
- Experience deploying solutions in AWS, Azure or GCP.
- Strong English communication skills.
Preferred Skills
- Databricks, Snowflake or Microsoft Fabric.
- MLOps tools such as MLflow, Kubeflow or Vertex AI.
- Vector databases including Pinecone, Weaviate, Chroma or Qdrant.
- Knowledge of CI/CD and Infrastructure as Code.
- Experience developing AI copilots or autonomous AI agents.
Pay range and compensation package
- Competitive salary.
- Flexible remote working across the European Union.
- Modern technology stack and AI-focused projects.
- Training and certification budget.
- Career progression opportunities.
- Collaborative international engineering team.
Equal Opportunity Statement
We are committed to diversity and inclusivity.
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