Artificial Intelligence Engineer

Are you passionate about building intelligent systems that solve real-world enterprise challenges?

We’re working with a global technology and digital transformation consultancy that partners with leading organisations to deliver innovative AI-driven solutions. They are looking for an Artificial Intelligence Engineer to join a growing team focused on developing next-generation AI systems that create measurable business value.

This role offers the opportunity to work on cutting-edge AI initiatives, collaborate with multidisciplinary teams, and deliver scalable solutions across complex enterprise environments.

The Role

As an Artificial Intelligence Engineer, you will bring expertise in full-stack development and AI system engineering to build and deploy advanced AI solutions. You’ll work on everything from front-end interfaces to AI model integration and cloud-based deployments.

You’ll play a key role in delivering Generative AI, Agentic AI, and machine learning solutions that support enterprise innovation and operational efficiency.

Key Responsibilities

Full Stack Development

• Design, develop, and maintain end-to-end AI applications including front-end interfaces, back-end services, and data pipelines.

AI System Development

• Build and optimise AI/ML models ensuring they are scalable, reliable, and production-ready.

• Develop solutions across Generative AI, Agentic AI, and traditional ML systems.

Enterprise Integration

• Integrate AI applications with existing enterprise systems and ensure seamless operation within the wider technology ecosystem.

Collaboration

• Work closely with data scientists, engineers, and business stakeholders to identify opportunities and deliver robust AI solutions.

Technical Leadership

• Provide technical guidance to engineering teams and help drive best practices in AI/ML development and deployment.

Innovation

• Stay up to date with emerging AI technologies and contribute to the development of new AI capabilities.

Your Profile

Essential Skills & Experience

• Strong Python development experience with AI/ML/NLP libraries such as Hugging Face Transformers, spaCy, and NLTK.

• Experience developing applications with modern LLMs (e.g. GPT, LLaMA, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation.

• Hands-on experience with GenAI frameworks such as LangChain or LlamaIndex, and agent frameworks such as AutoGen, CrewAI, or LangGraph.

• Experience with MLOps / LLMOps tooling including MLflow, Kubeflow, Docker, and Kubernetes.

• Practical experience deploying AI solutions on AWS, Azure, or GCP.

• Strong software engineering background for building scalable and production-ready AI systems.

• Experience designing enterprise-grade AI solutions, including RAG pipelines using LLMs and vector databases such as Pinecone, Weaviate, or FAISS.

• Proven experience building AI/ML systems within enterprise environments.

• Understanding of advanced AI techniques including agent orchestration, reasoning systems, knowledge graphs, and autonomous agents.

• Strong communication and stakeholder engagement skills.

• Experience contributing to technical proposals, client presentations, or solution workshops.