AI engineer

AKQA; Greater London; Híbrido; GBP 110.000 - 150.000; Jornada completa

Descripción de la vacante

AKQA в роли ведущей технологической команды ищет архитектора AI для проектирования и внедрения продвинутых AI-систем в цифровых продуктах крупных брендов.

Кандидат будет руководить техническим дизайном, обеспечивать масштабируемость, безопасность и устойчивость решений, работать с Python/TypeScript и облачными платформами, а также сотрудничать с креативной и UX-командами.

Formación

• Опыт backend/platform инженерии и распределённых систем.
• Практический опыт проектирования и внедрения генеративного AI в продакшн.
• Уверенное владение Python и/или TypeScript/Node.js и чистого production code.
• Понимание архитектуры LLM, рабочих процессов агентной архитектуры, RAG и векторных баз данных.
• Опыт внедрения CI/CD и тестирования, включая non-deterministic AI.
• Понимание облачной инфраструктуры и экосистем моделей AI.
• Умение общаться с клиентами и стейкхолдерами, презентовать архитектуру.
• Опыт работы в цифровом агентстве/консалтинге приветствуется.

Responsabilidades

• Проектирование и развёртывание производственных AI систем.
• Дизайн и интеграция инструментов агента, API и MCP интерфейсов.
• Разработка архитектуры, масштабируемых и безопасных сервисов.
• Обеспечение мониторинга качества моделей, latency и дефектов.
• Соавторство с командами frontend/п product для интеграций AI.

Conocimientos

Backend engineering

Distributed systems

Python

TypeScript/Node.js

LLM architectures

Agent orchestration

Cloud infrastructure

CI/CD

Security & reliability

Herramientas

LangGraph

CrewAI

AutoGen

Vercel AI SDK

LangSmith

Arize Phoenix

OpenTelemetry

Descripción del empleo

Описание

At AKQA (part of WPP), we believe in the imaginative application of art and science to design a better future. Our Technology teams combine engineering excellence, creativity and innovation to build intelligent digital products, platforms and experiences for some of the world's most ambitious brands.

Задачи

Architect, develop and deploy production-ready AI systems, including agentic workflows, multi-agent orchestration, retrieval-augmented generation (RAG) and intelligent automation solutions. Lead the technical design and implementation of AI-powered digital products, applications and platforms, ensuring solutions are scalable, secure, reliable and maintainable. Design and integrate agent tools, APIs and Model Context Protocol (MCP) interfaces, enabling secure and efficient interaction with enterprise systems, databases and external services. Develop compound AI architectures combining large language models with specialised models, semantic search, classification, re-ranking and deterministic workflows to improve accuracy, performance and cost efficiency. Build robust evaluation frameworks, automated testing, guardrails and observability capabilities to monitor model behaviour, output quality, hallucinations, latency and operational performance. Apply strong engineering judgement to model selection, prompt engineering, structured outputs, fine-tuning and retrieval strategies, balancing technical requirements with commercial objectives. Design and develop backend services, APIs and integration layers using Python, TypeScript, Node.js and modern cloud technologies. Collaborate with front-end, mobile and product engineering teams to integrate AI capabilities into modern web applications, including React, Next.js and headless digital platforms. Implement effective strategies for managing token usage, caching, latency, rate limits, fallback mechanisms and graceful degradation across AI services. Establish CI/CD practices for AI systems, incorporating automated evaluations, regression testing, version control and reliable deployment processes. Work with cloud and model platforms such as Azure OpenAI, AWS Bedrock, Google Cloud Vertex AI, OpenAI and Anthropic to design and deliver enterprise-ready solutions. Partner with creative, strategy, UX and technology teams to explore innovative applications of AI and translate concepts into technically feasible solutions. Provide technical leadership and architectural guidance to engineering teams, promoting high standards of software quality, security and engineering best practice. Engage with clients and senior stakeholders to communicate technical approaches, explain architectural decisions and shape solutions that deliver meaningful business value.

Требования

Significant experience in backend, platform or software engineering, with a strong understanding of distributed systems, microservices, asynchronous processing, API architecture and cloud infrastructure. Proven hands‑on experience designing, deploying and maintaining generative AI or agentic systems in production, with a strong track record of delivering commercially deployed AI engineering solutions. Advanced proficiency in Python and/or TypeScript/Node.js, with a commitment to writing clean, testable and maintainable production code. Strong practical understanding of LLM architectures, agentic workflows, tool calling, RAG, embeddings, vector databases and hybrid retrieval techniques. Experience with agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, Vercel AI SDK or custom‑built orchestration solutions. Demonstrable experience developing AI evaluation and observability capabilities, using tools such as LangSmith, Arize Phoenix, Braintrust, Helicone or OpenTelemetry. Strong understanding of software architecture, security, authentication, data management and enterprise integration patterns. Experience implementing automated testing and CI/CD pipelines, including unit, integration and regression testing, with an understanding of how to evaluate non‑deterministic AI systems. Practical knowledge of cloud infrastructure and AI model ecosystems, including the operational considerations involved in deploying and scaling intelligent applications. Understanding of modern digital product development, including web applications, headless CMS platforms, APIs and front-end technologies. Ability to balance technical ambition with practical considerations around cost, latency, performance, security and maintainability. A curious and pragmatic approach to emerging technologies, with the ability to distinguish meaningful innovation from experimentation and identify where AI can deliver genuine value. Confident communicating complex technical concepts to clients and non‑technical stakeholders, contributing to solution design and technical decision-making. Comfortable taking ownership of technical architecture while remaining actively involved in hands‑on engineering and delivery. Experience working within a digital agency, technology consultancy or product‑led environment, collaborating across multidisciplinary teams and managing client expectations. A collaborative, proactive and technically curious individual who enjoys solving complex problems and delivering high-quality engineering solutions.

Будет плюсом: Exposure to fine‑tuning smaller or open‑weight models, such as Llama or Mistral, for domain‑specific applications would be advantageous; Experience with design‑to‑code workflows, Figma integrations, design systems or generative user interfaces would be beneficial

Условия

Explore our extensive range of benefits here. We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach including required in-office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.