Senior AI Engineer

Marc Ellis; United Arab Emirates; On-site; AED 120,000 - 200,000; Full time

Job summary

A technology solutions company in Dubai is seeking a Senior AI Engineer for a 12-month contract to develop AI agents in the healthcare sector. Candidates should have a minimum of 5 years of experience, including 1 year with agentic AI and LLMs. The role requires proficiency in Python and familiarity with APIs and healthcare data integration.

Qualifications

• Minimum 5 years of experience in relevant role.
• 1+ year hands-on experience developing agentic AI solutions.
• Demonstrable experience in healthcare industry.

Responsibilities

• Develop AI agents and conversational systems.
• Responsible for prompt engineering and agentic workflows.
• Integrate various data sources and service APIs.

Skills

Python

AI/ML frameworks

Multi-agent systems

RAG-based systems

Vector DBs

API integration

Job description

Overview

Title: Senior AI Engineer

Duration: 12 months extendable contract

Location: Dubai, UAE

Experience: Healthcare Industry (must)

We are seeking to augment our core project team with world-class external talent for an initial engagement of 12 months, with the potential for extension. All candidates must possess a background in the healthcare industry and have over one year of hands-on experience in developing and deploying solutions based on the agentic AI paradigm and LLMs.

Role

• Hands-on development of the AI agents and conversational systems that form the core of the project. These engineers will be responsible for prompt engineering, building and fine-tuning agentic workflows, and integrating with various data sources and service APIs (e.g., EMRs, scheduling systems, lab results).

Capabilities & Requirements

• Proficient in Python and AI/ML frameworks.
• Demonstrable experience building multi-agent and/or complex RAG-based systems for real-world applications within a healthcare context.
• Expertise in working with Vector DBs and third-party APIs.
• Minimum 5 years of experience.
• Hands-on experience of at least 1 year developing and deploying solutions based on the agentic AI paradigm and LLMs.