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3 дня назад

AI Engineer (AWS Bedrock)

Формат работы
remote (только United_kingdom)
Тип работы
project
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineer (AWS Bedrock): Developing customer-facing agentic AI systems on AWS Bedrock using multi-agent collaboration patterns with Claude Sonnet with an accent on agent orchestration and production-scale LLM deployment. Focus on building domain-specific chat agents, chatbot automation, and advanced Agent WorkSpace AI features.

Location: Remote (United Kingdom)

Company

A tech company focused on accelerating digital delivery and closing the digital skills gap since 2014.

What you will do

  • Build customer-facing agentic AI on AWS Bedrock utilizing multi-agent collaboration patterns.
  • Implement domain-specific chat agents, chatbot automation, and Agent WorkSpace AI features.
  • Configure Amazon Bedrock Agents, Action Groups, Knowledge Base integrations, and Guardrails.
  • Develop Lambda fulfillment patterns using OpenAPI tool specifications.
  • Apply production-scale prompt engineering, including versioning and A/B testing.
  • Contribute to architectural decisions presented to senior stakeholders.

Requirements

  • 5+ years of software engineering experience.
  • 2+ years of experience with customer-facing AI/LLM systems in production.
  • Hands-on experience with Amazon Bedrock and multi-agent orchestration patterns.
  • Proficiency in TypeScript (primary) and Python (secondary).
  • Working knowledge of vector databases such as OpenSearch Serverless or Pinecone.
  • Must be based in the United Kingdom.

Nice to have

  • Experience with Amazon Bedrock AgentCore.
  • Integration experience with Amazon Agent Assist or Agent WorkSpace.
  • Experience with voice agents like Nova Sonic or other voice LLMs.
  • Production experience with Anthropic Claude on Bedrock (Sonnet 4 or later).
  • RAG implementation expertise, including chunking strategy and retrieval evaluation.

Culture & Benefits

  • Remote-first working environment.
  • Opportunity to be part of a mission to close the global digital skills gap.
  • Commitment to equal opportunities and diversity.
  • Flexible working arrangements and reasonable adjustments for accessibility.

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