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AI Model Engineer - Remote/Nationwide

Signature Performance
$100,000.00 - $140,000.00 / yr
life insurance, paid holidays, sick time, tuition assistance, 401(k)
United States, Montana, Billings
Mar 28, 2026
This is a remote based position. Applicants can be located nationwide
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AI Model Engineer
#2715
United States
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Position Description

About You


You are a person who is passionate about serving as a core technical leader within the Innovation, Research & Development (IR&D) department. We need someone who is responsible for architecting, optimizing, and operationalizing advanced AI systems that power Signature Performance's WorkflowXM platform, agentic workflow automation tools, and AI-enabled healthcare administrative solutions. In the role of AI Model Engineer, you will design, fine-tune, evaluate, and deploy large language models (LLMs), multimodal models, retrieval systems, and agentic frameworks that support high-volume medical coding, billing, claims processing, health insurance discovery, eligibility verification, customer service support, EDI ingestion, and enterprise automation.



  • Tell us about your experience with AI Model Engineering.
  • Are you a team player and a self-motivator?
  • We are counting on you to manage multiple projects using your problem-solving skills.
  • We are looking for someone UNCOMMON. What is uncommon about you?


Are you highly committed? Are you team-oriented? Do you value professionalism, trust, honesty, and integrity? If so, we cannot wait to meet you.



About The Position


AI Model Development & Optimization (40%)



  • Design, fine-tune, distill, and optimize LLMs and multimodal models to support WorkflowXM and other enterprise AI initiatives.
  • Implement PEFT/LoRA/Q-LoRA fine-tuning strategies for domain-specific healthcare tasks.
  • Develop retrieval-augmented generation (RAG) pipelines using vector databases (e.g., Qdrant).
  • Architect and evaluate model prompting frameworks, system prompts, and agentic prompt templates.
  • Optimize inference speed, accuracy, grounding, and reliability across on-prem and cloud environments.


Agentic AI System Engineering (25%)



  • Build and maintain tool-using AI agents, orchestrators, governance watchdog agents, and multi-agent workflows.
  • Implement memory systems, shared context, scratchpads, tool-calling logic, and verification loops.
  • Integrate AI agents with internal systems, including MCP servers, WorkflowXM modules, backend microservices, and data ingestion pipelines.
  • Create reusable "AI capability modules" for insurance discovery, claims QA, coding assistance, EDI parsing, and document understanding.


Model Evaluation, Guardrails & Compliance (15%)



  • Develop evaluation datasets, synthetic tests, and red-teaming harnesses for model quality assurance.
  • Implement guardrails for PHI/PII protection, hallucination minimization, and HIPAA-compliant behavior.
  • Monitor model drift, regressions, latency metrics, and accuracy degradation.
  • Work closely with IR&D governance and security partners to align models with Data Ethics & AI Governance Policy (CCP-046).


AI Infrastructure & Deployment Support (10%)



  • Collaborate with AI Systems Engineers and DevOps to deploy, containerize, and scale models in production.
  • Support GPU/accelerator utilization strategy and model serving frameworks (vLLM, Ollama, HuggingFace, TensorRT-LLM).
  • Assist in designing and maintaining model registries and versioned deployment systems.
  • Ensure high-throughput, high-availability inference services for WorkflowXM and enterprise applications.


Cross-Functional Collaboration & Innovation (10%)



  • Partner with analysts, developers, QA, clinical SMEs, and business stakeholders to translate operational needs into AI capabilities.
  • Contribute to AI-driven modernization of claims processing, revenue cycle workflows, EHR optimization, and payer service operations.
  • Support rapid prototyping, experimentation, and innovation aligned with IR&D's strategic priorities.


  • Document architectural approaches, model behaviors, and best practices for internal knowledge growth



Minimum Requirements:


Education & Experience



  • Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Applied Mathematics, or related field (or equivalent experience).
  • 3--7+ years of hands-on experience designing, training, or deploying machine learning or deep learning models.
  • 2+ years of direct experience with large language models, transformer architectures, or agentic AI systems.


Technical Skills



  • Strong proficiency with Python, PyTorch, HuggingFace Transformers, LangChain/LlamaIndex, and vLLM or similar inference engines.
  • Expertise in fine-tuning, PEFT/LoRA tuning, prompt engineering, and RAG architectures.
  • Experience deploying models using Docker, Kubernetes, GPU/TPU compute environments, and model-serving frameworks.
  • Hands-on experience with vector databases (e.g., Qdrant), embeddings, and semantic search.
  • Understanding of NER, NLP, document processing, and multimodal ingestion (audio, text, PDF, EDI).
  • Ability to build agent-based systems with tool-calling, planning, verification loops, and chain-of-thought scaffolding.


Preferred Requirements:


Healthcare Domain Knowledge



  • Experience with health insurance, payer portals, COB/OHI logic, medical billing, claims processing, medical coding, or EDI/HL7/FHIR standards.
  • Understanding of HIPAA, PHI/PII handling, and secure AI practices.


Soft Skills



  • Strong problem-solving and analytical mindset.
  • Ability to work in fast-paced environments with ambiguous requirements.
  • Clear communication skills for collaborating with technical and non-technical stakeholders.
  • Passion for innovation and transforming administrative healthcare through AI.



About Us


You are uncommon. We are, too. We are looking for people to help us in our mission of working hard at lowering healthcare administrative costs for federal government agencies, payers, and providers. At Signature, our mission is to improve the health of our clients' business and make the lives of the people we work with better. As we continue to experience exponential growth, we are looking for uncommon individuals to enhance our vision. We will continue to accomplish our mission by leading with our values of Passion, Courage, Integrity, and Respect in all interactions, making us a consistent annual Best Places to Work organization. We need uncommon leaders with uncommon qualities to shape our uncommon culture and achieve our uncommon mission.



About the Benefits


When you are a member of Signature Performance, you are a part of a solutions-based organization where the values of passion, integrity, courage, and respect are the driving forces behind all our decision-making. We trust you to do important work and bring the best version of yourself to work every day, so we want to help you achieve a work-life balance while consistently challenging yourself. Signature believes in fully developing each one of our Associates. Our performance-driven philosophy boasts competitive pay and additional position specific incentives, where world-class training and development, resources, and events drive our award-winning culture where everyone thrives.



  • Health Insurance
  • Fully Paid Life Insurance
  • Fully Paid Short- & Long-Term Disability
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays
  • Professional Development and Tuition Assistance Program
  • 401(k) Program with Employer Match


Security Requirements

  • U.S. Citizenship or naturalized citizenship is required for this position.
  • All work on all positions at Signature Performance must be completed in the continental United States, Alaska, or Hawaii.

Work Schedule
Monday through Friday, 8am to 5pm CST
Compensation Range
$100,000-$140,000/annually
Position Type
Full Time
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