via Dice
$0K - 0K a year
Design and implement full-stack solutions, APIs, and cloud infrastructure, leading technical strategy and automation.
Extensive experience in full-stack development, cloud services, API integration, and agile practices; domain-specific skills in AI workflows, Python, and life sciences standards are missing.
AI Engineer (Life Sciences Domain) 🚀Introduction: We are looking for an AI Engineer to join our team and work on a next-generation AI-powered product workflow platform in the Life Sciences domain. As an AI Engineer, you will be responsible for designing AI agents, event-driven architecture, and intelligent automation using cutting-edge tools such as LangGraph, ChatGPT, Cursor, Claude, and AWS. Responsibilities: • Build intelligent AI workflows and agent-based systems • Design event-driven architectures for scalable RFP automation • Integrate ChatGPT into enterprise product workflows • Develop frontend using React & backend using Python • Collaborate with clients and possibly perform on-site builds • Design cloud infrastructure on AWS with full VPC understanding Requirements:Required Skills: • Expert in Python, AI Workflows & AI Agents • Strong experience with React & LangGraph • Proficient with ChatGPT tools, Cursor, Claude • CI/CD pipeline expertise • AWS expertise: DynamoDB, EventBridge, RabbitMQ, Middleware, VPC • Experience with FHIR / HL7 (Life Sciences domain) • Infrastructure coding – Frontend & Backend mastery
This job posting was last updated on 1/9/2026