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2 дня назад

Senior AI Engineer (GenAI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior AI Engineer (GenAI): Building and scaling systems for Generative AI models, including LLMs, RAG, and agents, with an accent on knowledge retrieval pipelines and AI platform services. Focus on developing production-grade asynchronous Python services and implementing frameworks for AI observability and output quality evaluation.

Location: Hybrid in London, UK

Company

A technology-driven energy supplier accelerating the transition to a low-carbon future via its proprietary Kraken platform.

What you will do

  • Design and develop scalable AI platform services to expose GenAI models, retrieval pipelines, and agent workflows.
  • Build and maintain knowledge retrieval systems, processing heterogeneous documents into embedding pipelines.
  • Optimize unstructured content to be AI-ready by enhancing structure and adding machine-readable metadata.
  • Establish frameworks for AI Ops, observability, and monitoring of output quality, safety, and cost.
  • Act as a technical centre of excellence for LLM usage and best practices across the organization.
  • Implement governance layers for PII redaction and prompt filtering.

Requirements

  • 2+ years of hands-on experience productionizing LLM applications.
  • Deep technical knowledge of vector databases (e.g., Qdrant, Weavite, Pinecone, pgvector) and orchestration layers (LangGraph, LlamaIndex).
  • Strong software engineering fundamentals with deep experience in asynchronous Python (asyncio, FastAPI).
  • Proven experience solving production RAG challenges such as context window management and semantic routing.
  • Mastery of Git, automated testing, CI/CD pipelines, and cloud platforms like AWS.
  • Must be based in or able to work hybrid in London, UK.

Nice to have

  • Experience with GraphRAG and Knowledge Graphs (e.g., Neo4j).
  • Experience deploying and fine-tuning open-weight models via frameworks like vLLM or Ollama.
  • Practical experience implementing semantic caching layers to reduce API costs and latency.

Culture & Benefits

  • High-autonomy environment where employees are encouraged to learn, decide, and build quickly.
  • Co-ownership model where hard work is rewarded with genuine ownership.
  • Ranked as one of the top companies to work for in the UK.
  • Comprehensive employee benefits package focused on flexibility and growth.

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