ECA International
ECA International
ECA International वैश्विक मोबिलिटी कार्यक्रमों के लिए डेटा, सॉफ्टवेयर और परामर्श सेवाएँ प्रदान करता है। इसका काम संगठनों को अंतरराष्ट्रीय असाइनमेंट के लिए वेतन निर्धारित करने और उसका प्रबंधन करने, सीमा-पार स्थानांतरणों की निगरानी करने और पुनर्स्थापन लागतों को नियंत्रित करने में सहायता करता है। कंपनी स्थान संबंधी डेटा, बाजार-आधारित पारिश्रमिक अनुसंधान, असाइनमेंट प्रबंधन सॉफ्टवेयर और परामर्श विशेषज्ञता को एकीकृत करके अंतरराष्ट्रीय कर्मचारियों और मोबिलिटी नीतियों से जुड़े निर्णयों में सहयोग देती है। इसकी सेवाओं में MyExpatriate Market Pay Survey जैसे सर्वेक्षण शामिल हैं, जो नियोक्ताओं को मौजूदा बाजार परिस्थितियों के आधार पर पारिश्रमिक और लाभ संबंधी दृष्टिकोणों को अद्यतन रखने में मदद करते हैं। 50 से अधिक वर्षों के अनुभव के साथ, ECA International व्यवसायों को अपनी वैश्विक मोबिलिटी रणनीतियों की दक्षता की समीक्षा करने और उसे बेहतर बनाने में सहायता करता है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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