AI/Machine Learning Engineer, General AI

LivTech • Full-time • Atlanta, Georgia, United States • $110k - $160k / year • 1m ago

Overview
LivTech is a leading multi-brand healthcare software group transforming the way senior care, home care, and physician practices operate. With 17 SaaS companies across North America and the UK, our portfolio spans home-care scheduling and billing, residential and assisted-living management, and physician EHR systems. By integrating these platforms, we enable data sharing across care settings, helping providers deliver better outcomes, operate more efficiently, and thrive in a value-based care environment.

At the heart of LivTech is innovation. Our strategy brings together advanced analytics, AI-driven automation, seamless integrations, and exceptional customer service to unlock real value for caregivers, administrators, and clinicians. Whether it’s revenue cycle management, embedded decision support, or predictive insights, our solutions help customers spend less time on manual processes and more time delivering care.

LivTech provides exceptional opportunities for self development while building an exciting career in a leading-edge, hi-tech industry. Our culture and casual work environment give you the freedom to manage your own career. If you have the drive and ambition to apply your knowledge and skills, you’ll appreciate the opportunities LivTech has to offer, along with an excellent benefit package. Visit our web site at https://livtech.com/ to learn more about our fast growing company.

Role Overview:

LivTech is looking to build an industry leading AI department. Reporting directly to our corporate CTO and working closely with our head of AI, you will architect and develop AI technologies that integrate to our all-product lines. From summaries, document intelligent to predictive models and our own MCP servers, the work you do will enable our partners in providing better care for seniors.

Responsibilities:

Translate high-value use cases into production AI features used across product lines.
Design experiments and baselines, run A/B tests, and quantify impact (e.g., time saved, denial reduction, retention/revenue lift).
Build and maintain data pipelines (labeling, augmentation, weak supervision) for text, documents, and tabular healthcare data; ensure governance and lineage.
Train, fine-tune, and evaluate models (LLMs/transformers + classic ML).
Define metrics, red-team prompts, and harden guardrails.
Architect and operate MCP servers (tooling/function-calling, retrieval/RAG, prompt orchestration) and reusable SDKs for product teams.
Implement privacy & safety by design (HIPAA/PHIPA): de-identification, encryption, least-privilege access, auditability.
Maintain model registry and governance (versioning, approvals, drift monitoring, bias/explainability reviews).

Qualifications:

Analytical and detail-oriented with a strong experimentation approach.
Ability to balance long-term innovation with short-term deliverables.
Comfortable collaborating across engineering, product, and business functions.
Self-starter with high initiative and ownership.
Curious and pragmatic: interested in both cutting-edge methods and practical impact
Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn, …).
Solid understanding of supervised/unsupervised learning, predictive modeling, and evaluation metrics.
Experience working with structured/unstructured data (e.g., text, images, tabular healthcare data).
Bachelor’s or master’s in computer science, Data Science, Statistics, or related discipline.
Practical experience with end-to-end ML lifecycle (from prototyping to production).

Preferred Qualifications:

Experience with healthcare datasets or regulated environments.
Background in NLP, information retrieval, or knowledge graph construction.
Track record of building AI solutions that directly integrate with software platforms.
Understanding of MLOps practices and scalable deployment patterns.
Research or publication experience in applied ML/AI.

Job Type: Full-time

Pay: $110,000.00 - $160,000.00 per year

Benefits: