AI Engineer

Role Overview

As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.

Key Responsibilities

• Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
• Guide the architecture, infrastructure, tools, and processes for AI/ML products.
• Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
• Implement GraphRag in AI/ML products deployed to production to improve LLM response.
• Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
• Standardize, optimize, and scale products in production environments.
• Develop rapid prototypes to experiment and evaluate feasibility.
• Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.

Required Qualifications

• Education: A Bachelor’s Degree in Engineering, Computer Science, or a similar field is required.
• Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.
• Technical Skills:
  • Expert-level programming skills in Python/PySpark and Java.
  • Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
  • Experience with public cloud platforms, ideally Azure.
  • Proficiency with containerization and DevSecOps practices.
  • Experience working with semi-structured file formats and NoSQL databases.
  • Understanding of API design, development, and production deployment at scale.
  • Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
  • Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response

Preferred Qualifications

• Experience in the healthcare industry.
• Knowledge of medical terminology and clinical workflows.
• Contributions to open-source AI/ML projects.
• A Master's degree.

Compensation

Pay Rate: $75.00/hr - $85.00/hr. The specific compensation for this role will be determined based on a variety of factors, including a candidate’s work experience, skills, and qualifications.

Benefits Overview

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.