Engineer II (Gen AI)

Location: United States; the role supports hirify.global's Remote Patient Monitoring platform and is subject to New York State salary-transparency requirements.

Salary: $70,481.61–$91,266 annually.

Company

hirify.global is an academic medical and healthcare institution focused on medical education, scientific research, direct patient care, and remote patient monitoring.

What you will do

• Design, implement, and operate production-grade Generative AI, machine learning, MLOps, and LLMOps solutions for remote patient monitoring.
• Build data and ML pipelines for ingestion, preprocessing, validation, training, evaluation, and deployment.
• Deploy and fine-tune language models for summarization, triage, patient messaging, and other clinical workflows.
• Implement monitoring and observability for performance, latency, model drift, safety, and data quality, including model versioning and experiment tracking.
• Evaluate RAG, vector databases, embedding models, LLM providers, and cloud-native tools while balancing compliance, performance, and cost.
• Collaborate with data scientists, clinicians, care teams, IT, and product stakeholders; contribute to architecture reviews, documentation, code reviews, CI/CD, technical guidance, and the full AI software development lifecycle.

Requirements

• Bachelor's degree in computer science, data science, biomedical informatics, software engineering, or a related field.
• At least 1–3 years of experience developing AI solutions.
• Strong programming skills in Python or another language used for AI development.
• Substantial knowledge of AI, machine learning, and deep learning, with experience using PyTorch or TensorFlow.
• Experience with large-scale or compute-intensive applications on HPC, Spark, or Kubernetes clusters, plus knowledge of software development principles, data modeling, and software architecture.
• Strong problem-solving, communication, and teamwork skills.

Nice to have

• Master's degree in a relevant quantitative discipline.
• 3–5 years of hands-on experience delivering production AI or LLM-based solutions.
• Experience with Azure or AWS, CI/CD for AI applications, RAG, semantic search, embedding models, vector databases, and MLOps or LLMOps tools such as MLflow, Kubeflow, Airflow, or Weights & Biases.
• Experience building healthcare AI applications, integrating with EHR systems, working in regulated environments, and using prompt engineering, fine-tuning, and LLM provider APIs.

Culture & Benefits

• Work in an academic healthcare environment focused on research, patient care, inclusion, and equity.
• Comprehensive benefits and wellness support for employees and their families.
• Financial security benefits, generous paid time off, employee resource groups, and retirement support.
• Holistic wellness resources covering physical, mental, nutritional, sleep, social, financial, and preventive care.

Hiring process

• Submit a completed online application.
• Be prepared to discuss salary and hourly specifics during the application and hiring process.