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# AI Engineer

- **Company:** Mirai Tech Recruitment
- **Location:** London, UK
- **Salary:** £100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Systems Integration, Computer Network Operations, Large Language Models, Prompt Engineering, Generative AI, Restful APIs
- **Published:** June 7, 2026
- **Apply:** https://www.careerjet.co.uk/jobad/gbfa6326f90efdd1b2753d15ce49999980

## About the Role

Commercial experience building and deploying AI solutions
Strong Python engineering experience
Hands-on experience with LLMs and modern AI frameworks such as LangChain, LangGraph, LlamaIndex, OpenAI, Anthropic or similar
Experience building AI agents, copilots, or workflow automation tools
Knowledge of vector databases, RAG architectures, and prompt engineering
Experience working with AWS, Azure, or GCP
Strong software engineering fundamentals and experience delivering production-grade systems
Experience working with large-scale operational or infrastructure-focused environments is advantageous
Comfortable operating within a fast-paced environment where priorities can evolve quickly
Strong communication skills and the ability to engage both technical and non-technical stakeholders

## Description

As an AI Engineer, you'll be responsible for designing, building, and deploying AI-powered solutions that solve real-world challenges across telecommunications and utility services.
Working closely with engineering, technology, operations, and product teams, you'll take ideas from concept through to production, helping build intelligent systems that improve operational efficiency, automate processes, enhance customer interactions, and support critical business decisions.
This is far more than an implementation role. You'll have the opportunity to influence technical direction, experiment with emerging technologies, and play a key role in how AI is embedded across the organisation.
What You'll Be Doing
Building and deploying AI-powered applications and services
Developing LLM and generative AI solutions using modern frameworks
Designing agentic workflows and intelligent automation capabilities
Building scalable APIs and services for AI products
Creating RAG pipelines and knowledge-driven AI applications
Working closely with business and technology stakeholders to identify AI opportunities
Integrating AI solutions into customer-facing and internal platforms
Supporting AI use cases across network operations, customer service, field engineering, and business functions
Evaluating emerging AI technologies and driving adoption where appropriate
Monitoring, optimising, and improving production AI systems


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