AI Engineer

Posted 21 days agoViewed

📍 Location: United Kingdom, EU

🔍 Industry: InsurTech

🏢 Company: Cytora

🗣️ Languages: English

🪄 Skills: AWSDockerPythonArtificial IntelligenceData AnalysisKubernetesMachine LearningAlgorithmsAPI testingData StructuresREST APIServerlessCollaborationCI/CDProblem SolvingJSONData modelingData analytics

Requirements:

Experience in and strong knowledge of using AI/ML and more particularly LLMs e.g. Prompt engineering techniques, Agentic systems, Multiple LLM models
Experience in using LLMs for document processing tasks would be beneficial
Proficiency in Python and specifically with mypy and asyncio
Strong analytical and problem-solving skills, with the ability to address complex AI challenges.
Strong communication skills, with the ability to work effectively with cross-functional teams.

Responsibilities:

Engage deeply with domain experts and product managers to understand and define key business problems within risk processing in commercial insurance that can be solved with LLMs.
Collaborate closely with consuming service teams to define clear, efficient, and scalable interfaces for LLM tasks.
Design, develop, test, and deploy domain-specific LLM tasks (e.g., information extraction, risk assessment, document summarization, etc.) that are readily consumable by other Cytora services.
Stay up-to-date with the latest advancements in LLM technology and actively explore new models, techniques, and tools to enhance our capabilities e.g. Agentic AI.
Develop and implement comprehensive evaluation metrics and tools to rigorously assess and iterate on the performance of LLM tasks.
Analyze task performance, identify areas for improvement, and implement strategies to optimize accuracy, efficiency, and cost-effectiveness.
Monitor the performance of deployed LLM tasks in production, proactively identify and address issues, and ensure high reliability and accuracy.

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