Verified Employer Hiring Fast Featured Role

AI Engineer

Lily Hospitals verified
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Location
location_on Benin City
Work Model
home_work hybrid
Job Type
work Full-time
External Interest
open_in_new 2 clicks
Salary
payments Undisclosed

Intelligence Match

Match: ??%

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Skills Match 87%
Experience Match 88%
Portfolio Match 84%
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About the role

We are seeking an innovative and solution-driven AI Engineer to join our technology team. The ideal candidate will be responsible for integrating Artificial Intelligence (AI) and Large Language Models (LLMs) into enterprise healthcare applications, with a strong focus on workflow automation, intelligent search systems, and AI-powered process enhancements. This role requires strong backend development expertise, practical AI implementation skills, and the ability to identify scalable AI opportunities within healthcare systems such as Hospital Management Systems (HMS) and EMR platforms.

Required Skills

Laravel SQL MySQL Generative AI Team Leadership

Preferred Skills

AWS Python PHP NLP PostgreSQL LLM RAG Agile Methodologies Mentoring Remote Collaboration

Responsibilities

  • Integrate AI and Large Language Models (LLMs) into existing Laravel and PHP-based enterprise applications.
  • Develop intelligent automation workflows, semantic search systems, NLP-driven functionalities, and AI-powered healthcare process enhancements.
  • Design and implement AI-assisted features such as smart assistants, intelligent scheduling automation, transcription analysis, and contextual search capabilities.
  • Collaborate with backend developers, product teams, and stakeholders to identify practical AI use cases within Hospital Management Systems (HMS), EMR platforms, and related healthcare applications.
  • Build and maintain secure RESTful API integrations with OpenAI, Anthropic, and other AI service providers.
  • Optimize AI workflows and backend systems for performance, scalability, and reliability.
  • Ensure secure handling, processing, and storage of sensitive healthcare-related data in compliance with privacy and security standards.
  • Conduct AI experimentation, testing, and model evaluations using Python and related technologies.
  • Implement semantic and vector search solutions using technologies such as pgvector, PostgreSQL, and MySQL.
  • Monitor AI system performance and continuously improve intelligent features based on operational feedback and evolving business needs.
  • Document AI integrations, workflows, and technical processes to support scalability and maintainability.
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