Remote AI Engineer — Decision Intelligence & MLOps

Apex Systems; Fort Mill (SC); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

ESPP

401K with company match

HSA

EAP with 8 counseling sessions

Corporate discounts

Certification discounts

On-demand training

Job summary

Everforth Apex Systems is seeking an AI Software Engineer to design, develop, and deploy Decision Intelligence products. You will work with a product team across engineering, data science, and product management to deliver AI-enabled solutions that impact care delivery and clinical operations.

The role requires 6+ years in software/data/ML engineering, strong Python/Java, and hands-on experience with AI/ML pipelines, knowledge graphs (Neo4j), and GraphRag, with production deployment and cloud

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field.
• Minimum 6 years in software/data/ML engineering with at least 3 years in AI.
• Experience deploying AI/ML products with knowledge graphs (Neo4j).

Responsibilities

• Collaborate on design, development, and deployment of AI-enabled products.
• Guide architecture, infra, tools, and processes for AI/ML workloads.
• Implement knowledge graphs (Neo4j) in production solutions.
• Build GraphRag-enabled AI/ML features to improve LLM responses.
• Design scalable ML Ops pipelines for large data volumes.
• Keep production-grade solutions standardized and optimized.

Skills

Python/PySpark

Java

HTML/CSS/JavaScript

React/Angular

Azure

Containerization

DevSecOps

NoSQL

API design

Neo4j

GraphRag

Education

Bachelor's degree in Engineering/CS

Tools

Neo4j

GraphRag

Azure

Docker

Kubernetes

Job description

Everforth Apex Systems is seeking an AI Software Engineer to design, develop, and deploy Decision Intelligence products. You will work with a product team across engineering, data science, and product management to deliver AI-enabled solutions that impact care delivery and clinical operations.

The role requires 6+ years in software/data/ML engineering, strong Python/Java, and hands-on experience with AI/ML pipelines, knowledge graphs (Neo4j), and GraphRag, with production deployment and cloud