LLM Fine-Tuning & Model Optimization Engineer (AI)

Location: Not specified; flexible work arrangements are offered.

Company

hirify.global is an AI-native platform and consulting company building SureSystem™, an intelligence engine for healthcare benefits data, AI, and automation, alongside SureConsult™ consulting services.

What you will do

• Fine-tune and optimize large language models for the healthcare benefits domain, focusing on accuracy, safety, performance, and regulatory standards.
• Design training data pipelines covering data curation, labeling strategy, quality assurance, and domain-specific model adaptation.
• Implement RLHF, DPO, SFT, parameter-efficient fine-tuning, model compression, and other alignment techniques.
• Optimize inference cost, latency, and throughput for real-time AI capabilities in SureSystem™.
• Build healthcare benefits evaluation benchmarks for plan comparison, formulary reasoning, compliance adherence, and automated model testing.
• Research RAG, agentic architectures, multi-model orchestration, model serving, drift monitoring, bias detection, and ongoing quality assurance; collaborate with the Medical AI Advisory Scientist to validate clinical accuracy.

Requirements

• 3+ years of hands-on experience with LLM fine-tuning, NLP model development, or applied ML engineering.
• Strong proficiency in Python, PyTorch, and the Hugging Face Transformers ecosystem.
• Experience with GPU clusters, distributed training, and cloud ML platforms including AWS, GCP, or Azure.
• Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques.
• Hands-on experience with RLHF, DPO, SFT, or other alignment and fine-tuning methodologies.
• Strong software engineering fundamentals, including version control, testing, and CI/CD.
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Self-motivated, with the ability to drive projects from research through production.

Nice to have

• Experience fine-tuning models for healthcare, insurance, or other regulated industries.
• Published research in NLP, machine learning, or related fields, or contributions to open-source ML/NLP projects.
• Experience with RAG systems, vector databases such as Pinecone, Weaviate, or Chroma, and knowledge retrieval.
• Familiarity with vLLM, TGI, Triton, and model optimization techniques.
• Knowledge of healthcare data standards and terminologies including ICD-10, CPT, and SNOMED.
• Experience building evaluation harnesses and automated model testing pipelines.
• Master’s or PhD in Computer Science, AI/ML, or Computational Linguistics.

Culture & Benefits

• Flexible work arrangements, competitive salary, and comprehensive benefits.
• Fast-paced, flat organizational structure with direct mentorship from senior leadership.
• Collaborative work across sales, consulting, product, and leadership teams with high visibility.
• Exposure to enterprise sales, consulting, product development, and AI-driven healthcare innovation.
• Culture built around clarity, empathy, experimentation, collaboration, and resilience.

Hiring process

• Email a resume to careers@hirify.global.
• Use the subject line “Medical AI Advisory Scientist - [Your Name]” and include a brief note explaining why you are the A+ player sought for the role.