AI Agent Engineer - Part-time - Overlap with US Timezone (EST-PST)

Role Overview

We are seeking a dedicated AI Agent Engineer to join our team, focusing on designing and deploying intelligent systems that revolutionize healthcare workflows. This role involves creating AI agents capable of handling complex tasks from Electronic Health Record (EHR) analysis to patient communication and rare disease identification. You will be at the forefront of biomedical model integration in a dynamic startup environment, ensuring security and HIPAA compliance are integral to your work.

Responsibilities

• Build Production AI Agents: Design, develop, and deploy autonomous AI agents for end-to-end healthcare workflows, including data ingestion, decision-making, and execution.
• Architect Multi-Agent Systems: Develop systems that coordinate between Large Language Models (LLMs), external APIs, databases, and business logic.
• Implement Evaluation Frameworks: Create robust frameworks to measure agent performance, aligning with clinical and business objectives.
• Ensure Healthcare Compliance: Design and implement HIPAA-compliant workflows, ensuring responsible handling of sensitive patient data.
• Build Observability Infrastructure: Develop systems to monitor agent behavior, trace decisions, and debug production issues.
• Implement Security Best Practices: Ensure security across the stack, including data handling, API design, and access controls.
• Full Stack Development: Create responsive, production-grade interfaces using modern frontend frameworks and develop backend services in Python.
• Integrate Healthcare Systems: Seamlessly integrate with healthcare systems and data standards like FHIR and HL7.
• Advance Agentic AI: Develop Retrieval-Augmented Generation (RAG) pipelines and knowledge retrieval systems tailored for healthcare.
• Stay Innovative: Keep up with the latest AI research and implement innovative techniques in production.
• Ship and Iterate: Deploy AI agents to healthcare customers, iterating rapidly based on feedback and documenting best practices as we scale.

Required Skills

• 2+ years of experience in building production AI/ML applications, such as agents or LLM-powered products.
• Strong expertise in Python and hands-on experience with LLM orchestration frameworks like LangChain or LlamaIndex.
• Proficiency in full-stack development, including TypeScript and modern frontend frameworks like Next.js and React.
• Experience in prompt engineering, few-shot learning, and designing agent architectures.
• Comfortable with cloud infrastructure and deploying production systems on platforms like AWS, GCP, or Vercel.
• Self-directed and autonomous with strong problem-solving skills and the ability to navigate ambiguity.

Nice to Have

• Experience in the healthcare industry, including familiarity with EHR systems, HIPAA compliance, or clinical workflows.
• Experience in building observability and monitoring systems for AI/ML applications.
• Background in security engineering or building compliant systems in regulated industries.
• Experience with vector databases and semantic search systems.
• Background in building RAG systems and fine-tuning models.
• Contributions to open-source AI/ML projects.