AI Engineer – Remote

Location: Remote

Job Category:

• Information Technology (IT) & Software
• Engineering & Technical
• Healthcare & Medical
• Science & Research
• Remote / Work-from-Home Opportunities

Job Overview

We are seeking an experienced AI Engineer for a remote opportunity, with a strong focus on healthcare-focused Agentic AI solutions. The successful candidate should have hands-on experience working on a Healthcare Agentic AI project and deploying advanced artificial intelligence and machine learning solutions into production environments.

The role involves developing AI/ML products using Python, PySpark, and Java, alongside modern frontend technologies such as HTML, CSS, JavaScript, React, or Angular. Candidates should also have practical experience implementing knowledge graphs, preferably using Neo4j, and developing GraphRAG solutions designed to improve the quality and relevance of Large Language Model (LLM) responses.

This opportunity provides strong career growth potential for AI professionals working at the intersection of healthcare, Generative AI, knowledge graphs, GraphRAG, cloud computing, and production AI systems. Continued technical training, professional development, and upskilling in emerging AI and cloud technologies can support long-term career progression.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions for healthcare-related use cases.
• Apply experience from Healthcare Agentic AI projects to production-grade AI solutions.
• Develop AI and data-processing solutions using Python, PySpark, and Java.
• Build user interfaces using HTML, CSS, and modern JavaScript frameworks such as React or Angular.
• Design and implement knowledge graph solutions, preferably using Neo4j.
• Develop and deploy GraphRAG solutions to enhance LLM response quality and contextual accuracy.
• Integrate AI capabilities into production applications and platforms.
• Work with public cloud technologies, particularly Microsoft Azure.
• Collaborate with technical and business teams to develop scalable AI/ML products.
• Troubleshoot, optimize, and improve AI solutions deployed in production environments.
• Stay current with emerging Agentic AI, LLM, GraphRAG, knowledge graph, and cloud technologies.

Requirements & Qualifications

• Proven experience working on a Healthcare Agentic AI project is mandatory.
• Strong programming experience with Python/PySpark and Java.
• Experience building user interfaces using HTML, CSS, and JavaScript frameworks.
• Hands-on experience with React or Angular.
• Practical experience implementing knowledge graphs in production solutions.
• Experience with Neo4j is highly preferred.
• Hands-on experience implementing GraphRAG in AI/ML products deployed to production.
• Understanding of GraphRAG and its application in improving LLM responses.
• Experience with public cloud platforms, preferably Microsoft Azure.
• Strong understanding of AI/ML product development and production deployment.
• Strong analytical, problem-solving, communication, and collaboration skills.

Salary, Benefits & Career Growth

Salary and compensation details have not been provided for this position.

The position offers an opportunity to advance a career in Healthcare AI, Agentic AI, Generative AI, LLM applications, GraphRAG, knowledge graphs, and cloud-based AI engineering. Working with production AI/ML products can provide valuable professional development and hands-on experience with emerging technologies.

Candidates can further strengthen their expertise through technical training, cloud certifications, AI/ML certifications, and continued professional upskilling.

Application Process

Application Process (Website)

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C2C candidates are allowed.