Senior ML-LLM Engineer
Indexed description
Who you are:
5+ years of experience in ML/LLM engineering, including production-grade systems.
Experience building ML or agentic AI systems from scratch.
Strong experience with Docker, Kubernetes, and ML deployment pipelines.
Hands-on experience with AI development tools such as Cursor and Copilot.
Proven ability to lead technically and mentor others.
Experience with vector databases (Pinecone, Milvus, etc.) and LLM frameworks.
Healthcare or clinical data experience is a plus.
What you’ll do:
Design and implement AI agents and LLM-powered systems using modern frameworks.
Architect scalable, low-latency inference systems for production environments.
Integrate AI solutions into existing platforms using C#/.NET.
Collaborate with product, engineering, and clinical stakeholders.
Provide technical leadership and mentor team members on AI best practices.
Why work here:
Hybrid schedule (1 day onsite, Monthly; Nashville preferred, Dallas/Plano secondary, remote considered).
Opportunity to own and build AI capabilities from the ground up.
High visibility with senior leadership and direct impact on business outcomes.
Collaborative, growing team environment with strong technical investment.
Work on meaningful solutions that directly impact patient care and clinical efficiency.
What does this position pay?
Compensation is determined by several factors which may include skillset, experience level, and education.
The expected range for this role is $150,000 to $165,000 per year. Please note this range is an estimate and actual pay may vary based on qualifications and experience.
What’s next?
Please email your resume to [email protected] if you’re excited to explore this opportunity.
We actively support and promote people of various backgrounds, from race, religion, and gender to geographic area, university, lifestyle, and personality type. Proven Recruiting is minority?owned, majority women, and is a strong advocate for diversity and inclusion in the broader community. Apply today!
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