ECA International
ECA International
ECA International жаһандық мобильділік бағдарламаларына арналған деректер, бағдарламалық жасақтама және консультациялық қызметтер ұсынады. Компанияның жұмысы ұйымдарға халықаралық іссапарлар мен тағайындауларға арналған еңбекақыны белгілеуге және басқаруға, шекарааралық ауысуларды үйлестіруге және қоныс аудару шығындарын бақылауға көмектеседі. Компания орналасу орны туралы деректерді, нарықтағы өтемақыға қатысты зерттеулерді, тағайындауларды басқару бағдарламалық жасақтамасын және консультациялық сараптаманы біріктіріп, халықаралық қызметкерлер мен мобильділік саясаттарына қатысты шешімдерді қолдайды. Оның қызметтеріне жұмыс берушілерге өтемақы мен жеңілдіктер тәсілдерін нарықтағы ағымдағы жағдайға сай ұстауға көмектесетін MyExpatriate Market Pay Survey сияқты сауалнамалар кіреді. 50 жылдан астам тәжірибесі бар ECA International компанияларға жаһандық мобильділік стратегияларының тиімділігін бағалап, жетілдіруге қолдау көрсетеді.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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