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AI

AI Engineer

Job Details

Work Mode

Hybrid

Experience

Mid

Employment

Full-time

Salary

£85,000 - £120,000 p/y

Posted Today

Tech Stack

Required technologies & tools

Python Azure Llm Apis CI/CD Langgraph Openai Kotlin Opensearch Docker Anthropic Kubernetes Vector Databases Elasticsearch Java Rag Langchain

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About the Role

AI Engineer | £ | Hybrid

Build the AI systems our users actually experience.

We're looking for a dynamic AI Engineer (5+ years) to design, build, and deploy autonomous, user-facing AI solutions - LLM-powered applications, agentic workflows, and intelligent systems that perform reliably at scale, not just in a demo.

What You'll Do
  • Own AI solutions end-to-end, from concept to production and ongoing optimization
  • Architect LLM-powered applications, multi-agent workflows, and autonomous systems
  • Orchestrate LLMs through advanced prompt engineering and fine-tuning
  • Deploy and monitor AI services in production, tracking quality, hallucination rates, and decision accuracy
  • Build scalable, cost-effective infrastructure with automated evaluation and fallback mechanisms
  • Ensure security, compliance, and rapid iteration based on user feedback
What You'll Bring
  • 5+ years in AI/ML engineering or software development, with production AI deployment experience
  • Degree in Computer Science (or equivalent) with strong AI/ML/NLP foundations
  • Strong Python skills, familiarity with Java/Kotlin, and solid API design experience
  • Hands-on experience with LangChain, LangGraph, and LLM APIs (OpenAI, Anthropic, etc.)
  • Skilled in prompt engineering and orchestrating AI agents/chatbots
  • Familiarity with cloud AI services (Azure preferred), Docker/Kubernetes, CI/CD, and monitoring
  • Strong debugging, collaboration, and continuous-learning mindset

Nice to Have: Experience with vector databases and RAG (e.g., OpenSearch, ElasticSearch)

Ready to build what's next?

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