AI Model Engineer
Role details
Job location
Tech stack
Job description
- 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
Requirements
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., * 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.
Benefits & conditions
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 Signature Performance