AI Engineer

Reference:

Job ID:

Posted:

Closing date:

Location: Bolton

Salary: 75000 (per annum)

Job type: Permanent

Working pattern: Full time

Industry: Technology & Internet Services / Intelligent Automation

Company: Hays

Consultant: Ashley Sharp

Hays office: Manchester — 5th Floor, City Tower, Piccadilly Plaza

Phone:

Email:

AI Engineer

Help build and scale practical AI solutions that solve real business problems

We're supporting an organisation that is investing significantly in AI and building a dedicated capability to deliver AI-powered products and automation solutions across the business.
This opportunity is aimed at experienced AI Engineers who have already built and deployed Generative AI applications in commercial environments and are looking to work on complex AI challenges at scale.

The Role

As an AI Engineer, you'll design, develop and deploy production-grade AI solutions, working across the full lifecycle from experimentation through to operational deployment.
You'll be responsible for building and enhancing applications powered by Large Language Models, Retrieval-Augmented Generation (RAG) and agentic AI architectures, whilst ensuring solutions are reliable, scalable, secure and cost-effective.
Key responsibilities include:

• Building production-ready Generative AI applications using LLMs
• Designing and implementing Retrieval-Augmented Generation (RAG) architectures
• Developing agentic AI workflows and multi-step orchestration solutions
• Integrating AI products with APIs, data platforms and business systems
• Evaluating and optimising model performance, accuracy, latency and cost
• Deploying, monitoring and supporting AI solutions in production environments
• Collaborating with stakeholders to identify opportunities where AI can deliver measurable business value

Essential Experience

To be considered, you'll need demonstrable commercial experience in several of the following areas:

• Building and deploying LLM-powered applications
• Retrieval-Augmented Generation (RAG)
• AI Agents and agentic workflows
• LangChain, LangGraph or similar AI orchestration frameworks
• Prompt engineering and LLM evaluation
• Embeddings, vector databases and semantic search
• Model APIs including OpenAI, Anthropic, Azure OpenAI or equivalent platforms
• Python development in production environments
• API development and system integrations
• Cloud-based AI deployments across Azure, AWS or GCP
• Monitoring, observability and evaluation of AI systems

Desirable Experience

• Multi-agent architectures
• LLM testing and evaluation frameworks
• AI governance, security or responsible AI practices
• Workflow automation platforms
• MLOps and AI deployment pipelines
• Experience working with regulated or complex operational environments

About You

We're looking for someone who is already building AI solutions rather than simply experimenting with AI tools.
You'll likely be:

• An AI Engineer, Applied AI Engineer, LLM Engineer, Generative AI Engineer or Machine Learning Engineer
• Passionate about Generative AI and its practical application
• Comfortable working with ambiguity and evolving technologies
• Focused on delivering production-quality solutions rather than proofs of concept
• Curious about emerging AI capabilities and industry developments
• Able to balance technical excellence with commercial value

If you're excited by the prospect of helping build practical AI solutions whilst developing your own expertise in a rapidly evolving field, we'd love to hear from you.
# - Ashley Sharp