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AI Engineer

PRACYVA

🇬🇧London, GBsenior

  • aws
  • azure
  • c#
  • ci/cd
  • css
  • cursor
  • diffusion models
  • docker
  • gcp
  • html
  • infrastructure as code
  • javascript
  • kiro
  • langchain
  • llm
  • mcp
  • microservices
  • model context protocol
  • python
  • rag
  • vector databases
  • 8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices.

  • Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial.

  • Hands-on experience using agentic AI software engineering solutions (e.g., Kiro, Cursor, or similar) to accelerate development and experimentation.

  • 3+ years implementing AI solutions driving measurable business impact.

  • Excellent working knowledge of: prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases, evaluation, benchmarking, and guardrails.

  • Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines.

  • Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial.

  • Enterprise architecture and microservices design; observability and telemetry; infrastructure as code and CI/CD pipelines.

  • Experience navigating the legal, ethical, and security implications for AI, including data privacy, IP, safety, and responsible use of Generative AI.

  • 4+ years experience leading cross-functional teams and collaborate effectively with global teams.

  • Experience approaching a problem from different angles, analyzing pros and cons of different solutions, and analytical problem-solving skills, with the ability to reframe problems, explore multiple options, and land pragmatic, high-impact solutions.

  • Excellent ability to clearly communicate complex concepts simply and clearly. Weave an engaging narrative that clearly communicates complex concepts and demonstrates business impact.

  • Customer- and player-centric mindset, with a passion for building solutions that empower teams and delight fans.

  • Enjoy and prioritize continual learning – staying up to date with the newest AI technologies, models, tools, and solution patterns, and understanding how they can benefit EA Experiences.

  • Thrive working both collaboratively and independently in a fast-paced, dynamic environment; comfortable operating in a startup-like setting within a large organization.

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