AI Engineer

• Design solution architecture using off-the-shelf models, RAG, agents and custom models based on client problems and budgets.
• Integrate LLMs into client systems, including prompt design, tool use and agentic workflows.
• Train, validate and deploy machine learning models for demand forecasting, anomaly detection and similar problems.
• Analyse client data to assess use-case feasibility and build supporting data pipelines.
• Evaluate and monitor production solutions for accuracy, drift, latency and cost, and optimise them.
• Write tested, secure code with safeguards against prompt injection and data leakage.
• Work with client executives, business users and IT teams to translate business problems into technical requirements and contribute to proposals.
• Hand over solutions with documentation and training so client teams can operate and maintain them.
• Work directly with the founder and client teams from scoping through go-live and handover.

Explore AI Engineer at Pear Tree.. Review requirements and application details.

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