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ECA International
ECA International
51 – 200 Angajați
Sponsor pentru viza de lucrător calificatAsistență medicalăConsultanțăLogistică
ECA International furnizează date, software și servicii de consultanță pentru programe de mobilitate globală. Activitatea sa ajută organizațiile să stabilească și să gestioneze remunerația pentru misiuni internaționale, să supravegheze relocările transfrontaliere și să controleze costurile de relocare. Compania combină date despre locații, cercetări privind remunerația de pe piață, software pentru gestionarea misiunilor și expertiză de consultanță pentru a sprijini deciziile referitoare la angajații internaționali și politicile de mobilitate. Serviciile sale includ sondaje precum MyExpatriate Market Pay Survey, care îi ajută pe angajatori să își mențină abordările privind remunerația și beneficiile aliniate la condițiile actuale ale pieței. Cu peste 50 de ani de experiență, ECA International sprijină companiile în evaluarea și îmbunătățirea eficienței strategiilor lor de mobilitate globală.
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Locurile de muncă ale companiei

AI Engineer (LLM and RAG) - London Hybrid

Build production RAG pipelines, intelligent agents, and LLM-powered features for ECA International’s global mobility technology. Work with engineering and product teams to deliver secure, responsible AI solutions.

GBRegatul Unit
60.000 £ – 70.000 £ / an
HibridNormă întreagăJuniorNivel mediuNu este necesară o diplomăLimbă Obligatorie: englezăInginer AIInginer de învățare automată
AWSDockerJavaScriptNode.jsPostgresPythonReactTerraformTypeScript

Descriere

  • Create, develop, and ship AI features using Claude, OpenAI, Gemini, and open-weight models
  • Build and enhance RAG pipelines with embeddings, vector databases, and retrieval methods
  • Develop intelligent agents and workflows with AWS Bedrock, AgentCore, and orchestration frameworks
  • Use Claude Code as part of the daily software engineering workflow
  • Assess and monitor AI performance while improving quality, reliability, latency, and cost
  • Support secure, trustworthy AI delivery through privacy safeguards and appropriate governance
  • Partner with engineers, product teams, and other specialists to turn concepts into production-ready solutions
  • Explore new approaches, exchange ideas, and question established methods

Cerințe

  • Approximately 2–5 years of software development experience, including practical work on LLM-powered applications
  • Strong Python and/or TypeScript development ability
  • Sound knowledge of core software engineering practices
  • Hands-on experience integrating LLM APIs such as Claude, OpenAI, or Gemini
  • Experience building and deploying RAG systems with embeddings, vector databases, and retrieval optimisation
  • Practical experience operating open-source or open-weight models such as Llama, Mistral, or Qwen
  • Experience using Claude Code, including workflows, plugins, skills, and related development capabilities
  • Experience integrating models and related services through AWS Bedrock
  • Understanding of responsible AI practices covering governance, privacy, security, and safeguards
  • Experience contributing within an Agile software engineering environment
  • Curiosity, initiative, and willingness to learn in a fast-changing discipline
  • Ability to collaborate, own deliverables, and communicate complex technical concepts clearly
  • Bonus: experience developing agentic AI, multi-agent systems, or orchestration frameworks such as LangGraph or Strands Agents
  • Bonus: experience with Amazon Bedrock AgentCore
  • Bonus: familiarity with LLM evaluation and observability tools
  • Bonus: experience building MCP servers or connecting external tools to AI agents
  • Bonus: familiarity with Node.js, React, PostgreSQL, Docker, or Terraform
  • Bonus: experience developing AI capabilities for a multi-tenant B2B SaaS product

Beneficii

  • Deliver meaningful AI initiatives that reach production
  • Gain practical experience with emerging AI technologies and engineering tools
  • Work alongside experienced engineers and product specialists
  • Experiment with new ideas and help shape software development practices
  • Develop your career within an AI-native engineering team

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