The Midtown Group is seeking a motivated Full-Stack Agentic AI Developer to contribute to cancer research by building autonomous AI systems. This role involves designing and implementing multi-agent systems to enhance clinical trial processes, leveraging modern frameworks and full-stack development skills.
Responsibilities:
- Implement proof-of-concept through production-ready capabilities that directly streamline and improve clinical trial workflows
- Design, deploy, and govern AI agents capable of understanding high-level goals, planning actions, and executing tasks with minimal human intervention
- Utilize frameworks like LangChain, LangGraph, or CrewAI to build complex LLM-powered workflows
- Build robust backend services (Python, Node.js, Spring Boot REST APIs) to support agent orchestration, alongside intuitive front-end interfaces (React, Next.js, TypeScript) for human-in-the-loop monitoring and configuration
- Develop custom tools, plugins, and Model Context Protocol (MCP) servers to securely expose internal services, APIs, and databases to LLMs
- Architect and refine Retrieval-Augmented Generation (RAG) pipelines and vector databases
- Deploy AI applications on cloud platforms (AWS, Azure, or GCP) using Docker, Kubernetes, and CI/CD pipelines, while implementing logging, tracing (e.g., LangSmith, Langfuse), and strict safety guardrails