Design and implement AI systems, build scalable inference systems, and integrate LLM-powered applications into real-world business workflows. Work closely with product, engineering, and domain stakeholders to transform fragmented data into actionable intelligence. Develop high-performance backend services using C#/.NET to integrate AI capabilities with enterprise systems.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Senior AI / LLM Engineer
Location: 100% Remote (USA)
Employment Type: Full-Time
Final Interview Locations: Nashville, TN
Compensation: Competitive annual base salary (based on experience and location)
About the Role
We are seeking a highly skilled Senior AI / LLM Engineer to design and build next-generation AI systems that power intelligent, production-grade enterprise solutions. This role is ideal for someone passionate about AI agents, RAG architectures, scalable inference systems, and integrating LLM-powered applications into real-world business workflows.
You will work closely with product, engineering, and domain stakeholders to transform fragmented data into actionable, trustworthy intelligence using cutting-edge AI technologies.
Key Responsibilities
- Design and implement AI agent systems using frameworks such as LangGraph, Semantic Kernel, or custom orchestration architectures
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines leveraging structured, semi-structured, and unstructured data
- Develop AI systems capable of synthesizing fragmented information into prioritized and actionable insights
- Architect and maintain scalable, low-latency inference systems for production environments
- Build evaluation and validation frameworks to ensure AI outputs are accurate, reliable, unbiased, and aligned with source-of-truth data
- Implement and manage vector database infrastructure using Pinecone, Milvus, Weaviate, or similar technologies
- Perform model fine-tuning, PEFT/LoRA optimization, and production model deployment
- Develop high-performance backend services using C#/.NET to integrate AI capabilities with enterprise systems
- Ensure compliance with security, privacy, and regulatory standards (HIPAA experience is a plus)
- Research and evaluate emerging AI technologies to continuously improve platform capabilities
- Mentor junior engineers and contribute to engineering best practices and technical leadership
- Participate in code reviews and maintain high-quality development standards
- Collaborate cross-functionally with product, clinical, and engineering teams to translate workflows into intelligent AI-driven solutions
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Required Qualifications
- Bachelor’s degree preferred
- 5+ years of professional experience in ML/LLM engineering with production-grade systems
- Strong expertise in LLM orchestration, tool calling, AI agents, and long-context document processing
- Hands-on experience with vector databases such as Pinecone, Milvus, or Weaviate
- Experience building and deploying scalable, low-latency AI inference systems
- Strong proficiency in C#/.NET backend development
- Hands-on MLOps experience including Docker, Kubernetes, CI/CD pipelines, and deployment automation
- Strong understanding of data modeling and workflow mapping
- Experience building AI evaluation frameworks and automated testing systems
- Proficiency with Git, Azure DevOps, and modern development workflows
- Experience using JIRA or similar project/task management tools
- Strong analytical, debugging, and problem-solving skills
- Experience with modern AI engineering tools such as GitHub Copilot or Cursor
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Nice-to-Have Qualifications
- Healthcare, EHR, claims, or clinical data domain experience
- Familiarity with healthcare interoperability standards such as FHIR or HL7
- Experience working within regulated environments and HIPAA-compliant systems
Why Join Us?
- Fully remote opportunity
- Work on cutting-edge AI and agentic systems
- High-impact engineering environment
- Opportunity to influence architecture and AI strategy
- Collaborative and innovation-focused culture
If you are passionate about building intelligent AI systems at scale and solving complex real-world challenges, we’d love to hear from you.
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