AI engineer in global mobility

ECA International; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

ECA International ищет инженера AI с практическим опытом разработки LLM‑пpowered решений. Вы будете создавать реальные AI‑фичи, внедрять RAG‑решения, работать с Claude Code и AWS Bedrock, и сотрудничать с командами разработки и продуктами. Стратегия — переход от экспериментов к продакшн‑решениям.

Требуется 2–5 лет опыта, навыки Python/TypeScript, знание LLM API и принципов ответственного AI. Готовность к быстрому обучению и совместной работе обязателен.

Qualifications

• 2–5 лет опыта в разработке ПО с практическим применением LLM.
• Навыки Python и/или TypeScript, прочная база SWE.
• Опыт работы с LLM API (Claude, OpenAI или Gemini).
• Опыт внедрения RAG решений, включая embeddings и vector DB.
• Опыт работы с открытыми моделями (Llama, Mistral, Qwen).
• Опыт Claude Code и его рабочих процессов.
• Опыт AWS Bedrock и интеграции моделей.
• Понимание ответственного AI, безопасности и конфиденциальности.
• Опыт Agile.
• Готовность к обучению в быстро меняющейся области.

Responsibilities

• Разрабатывать и внедрять AI‑функции на практике.
• Разрабатывать и улучшать RAG‑пайплайны с embeddings и векторами.
• Помогать развивать интеллектуальных агентов и рабочие потоки на AWS Bedrock.
• Использовать Claude Code в повседневной инженерной работе.
• Оценивать и мониторить производительность ИИ, находить пути улучшения.
• Обеспечивать безопасность, прозрачность и надлежащие меры управления данными AI.
• Сотрудничать с инженерами, продуктовой командой и специалистами.

Skills

Python

TypeScript

LLM APIs

RAG pipelines

AWS Bedrock

Governance

Tools

Claude

OpenAI

Gemini

Llama

Mistral

Qwen

Bedrock

Job description

Описание:

Love AI? Brilliant. We want someone who's actually building with it. AI is moving fast. We're looking for someone who wants to move with it. At ECA, we're building AI-powered capabilities into our global mobility technology, and we're looking for a curious, hands-on AI Engineer to help us take things further. This isn't a role where you'll spend your days experimenting with AI concepts that never see the light of day. You'll be building real AI features, working with the latest models and tools, and helping us bring intelligent solutions into production.

Задачи:

• Design, develop and deliver AI-powered features using technologies such as Claude, OpenAI, Gemini and open-weight models.
• Build and improve retrieval-augmented generation pipelines, working with embeddings, vector databases and retrieval techniques to deliver reliable results.
• Help develop intelligent agents and workflows using AWS Bedrock, with opportunities to work with AgentCore and agent orchestration frameworks.
• Use Claude Code as part of your everyday engineering workflow, helping us develop smarter ways of designing, building and delivering software.
• Evaluate and monitor AI performance, identifying opportunities to improve quality, reliability, speed and cost.
• Help ensure our AI solutions are secure, trustworthy and developed with appropriate governance, privacy and safeguards.
• Work closely with engineers, product teams and other specialists to turn ideas into working solutions.

Требования:

• Around 2-5 years of software development experience, including hands-on experience building LLM-powered applications.
• Strong development skills in Python and/or TypeScript, alongside solid software engineering fundamentals.
• Practical experience working with LLM APIs, including Claude, OpenAI or Gemini.
• Experience building and deploying RAG solutions, including embeddings, vector databases and retrieval optimisation.
• Hands-on experience running open-source or open-weight models, such as Llama, Mistral or Qwen.
• Practical experience using Claude Code, including its workflows, plugins, skills and other development capabilities.
• Experience with AWS Bedrock, including model integration and associated services.
• An understanding of responsible AI, including governance, data privacy, security and appropriate safeguards.
• Experience working in an Agile software engineering environment.
• Most importantly, you'll be curious, proactive and comfortable learning in a field that changes almost daily. You'll enjoy collaborating with others, taking ownership of your work and explaining complex technical ideas without making everyone's head spin.

Будет плюсом:

• Agentic AI development, multi-agent systems or orchestration frameworks such as LangGraph or Strands Agents;
• Amazon Bedrock AgentCore;
• LLM evaluation and observability tools;
• Building MCP servers or integrating external tools with AI agents;
• Technologies such as Node.js, React, PostgreSQL, Docker or Terraform;
• Developing AI features within a multi-tenant B2B SaaS environment

Условия:

Work on meaningful AI projects that make it into production. Get hands-on with emerging AI technologies and development tools. Collaborate with experienced engineers and product specialists. Experiment, innovate and contribute ideas that influence how we build software. Develop your career as part of a team embracing AI-native engineering.