Artificial Intelligence Engineer

Xcede
London
2 weeks ago
Applications closed

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Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Artificial Intelligence Offerings Lead Architect

Applied AI Engineer:


Up to 200k

Xcede has just started working with one of the fastest growing Large-scale B2B Automation & Intelligence Company. Wanting to modernise how large organisations create, verify, and deliver high-stakes professional output, you will take ownership of core AI agent systems, building and scaling multi-agent services, implementing RAG pipelines, and developing robust model evaluation tooling.


What you will be doing:


Design, implement, and operate resilient backend platforms and APIs (ideally using Python with Django or FastAPI), working in close partnership with founders, product, growth, design, and engineering teams to ship impactful functionality, deliver production-grade AI capabilities such as RAG pipelines, multi-agent architectures, and evaluation systems, build end-to-end data workflows for model development and optimisation, and guide junior engineers while championing high technical standards.


Requirements:


  • Over five years of hands-on experience working as a professional software developer
  • Practical experience designing, delivering, and operating AI-powered applications in live production systems.
  • Proficiency with Python
  • Good grasp on SQL databases
  • Proficiency with Git
  • Experience with cloud platforms, container-based deployment, and automated build and delivery pipelines.
  • Hands-on experience building asynchronous processing systems using background workers and task queue frameworks such as Celery
  • Experience using Redis
  • Practical experience developing, launching, and maintaining AI-driven systems in live production settings.
  • Demonstrated expertise in building retrieval-augmented architectures, managing agent-based AI frameworks, and continuously measuring and optimising system effectiveness.
  • Working knowledge of large language model assessment methods and tooling used to benchmark accuracy, robustness, and responsible behaviour.


If you are interested in this or other Data Scientist positions, please contact Gilad Sabari @ |

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