hyperexponential

Senior AI Engineer, Developer Experience

hyperexponential

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Senior

Tech Stack

AWSCloudDockerPythonPyTorchReactScikit-LearnTensorflowTerraform

About the role

  • Lead AI-driven initiatives to identify opportunities where AI improves developer workflows, automating repetitive tasks and accelerating decision-making
  • Define and shape the approach to incorporating AI into engineering workflows and adopt best AI tools and techniques
  • Collaborate with teammates, share knowledge, and foster a culture of learning to make AI accessible across the engineering organisation
  • Prototype and implement creative AI solutions that make engineers faster, more efficient, and more effective
  • Build and maintain underlying AI infrastructure, RAG pipelines, and data pipelines for an engineering context
  • Evaluate and integrate AI-powered solutions (IDE integrations, code review tools) and lead delivery of new initiatives

Requirements

  • Proven experience building internal tooling and platforms to support engineering teams
  • Hands-on experience working with LLMs or related AI technologies, including embeddings, RAG pipelines, and fine-tuning
  • Experience with frameworks such as LangChain, LlamaIndex, LangGraph and vector databases (bonus)
  • Strong Python programming skills and familiarity with AI/ML libraries (PyTorch, Hugging Face Transformers, scikit-learn, TensorFlow)
  • Strong DevOps experience and knowledge of cloud technologies (AWS), infrastructure as code (Terraform), CI/CD pipelines (GitLab), and containerization (Docker)
  • Product mindset: design solutions from the user's perspective to improve developer experience
  • Leadership and ownership: experience leading initiatives from inception to delivery
  • Excellent communication and collaboration skills with technical and non-technical stakeholders
  • Experience building AI infrastructure and data pipelines for engineering contexts
  • Willingness/ability to travel to the London HQ when required (likely quarterly)
  • Applicants should not require visa sponsorship (employer currently cannot support visa sponsorship)