Agentic AI Engineer (AI)

TL;DR

Agentic AI Engineer (AI): Building and deploying autonomous agentic systems using large language models with an accent on decision-making capabilities and software infrastructure. Focus on designing complex AI pipelines, integrating generative models into production services, and ensuring system reliability and security.

Location: Must be based in the United States (Pennsylvania preferred)

Company

hirify.global is a large healthcare organization focused on improving operational efficiency and patient outcomes through advanced technology.

What you will do

• Design, develop, and deploy generative AI models including LLMs and diffusion models.
• Architect and build agentic systems capable of autonomous decision-making.
• Integrate generative AI solutions into existing products and services.
• Develop and maintain software infrastructure for AI/ML pipelines.
• Implement data pipelines for training and evaluating AI models.
• Conduct research and experimentation with new generative AI techniques.

Requirements

• 5+ years of software development experience (Python preferred).
• 3+ years of experience working with large language models (LLMs).
• 3+ years of experience building and deploying AI agent systems.
• 2+ years of experience deploying machine learning models in production.
• Bachelor’s degree in Computer Science, AI, Data Science, or a related field.
• Strong problem-solving, analytical, and communication skills.

Nice to have

• Master’s degree in a relevant technical field.
• Experience with cloud computing platforms (e.g., Google Cloud).
• Familiarity with agentic frameworks like LangChain, AutoGPT, or Semantic Kernel.
• Experience deploying AI models at scale in high-throughput environments.
• Google Cloud Certification.

Culture & Benefits

• Flexible work environment with options for office-based or remote work.
• Opportunity to work on cutting-edge intelligent applications in the healthcare sector.
• Commitment to ethical standards and data security (HIPAA compliance).
• Focus on professional growth and staying current with AI advancements.