AI Fullstack Engineer

Local candidates only. You must be a W2 employee and we can not work with third party clients.Software Engineer – Generative AI Applications | Company’s Early Clinical Development (ECD) team is looking for a Software Engineer to design and build next‑generation applications that integrate generative AI into clinical development workflows. You’ll work with AI scientists, full‑stack engineers, and cross‑functional partners to deliver innovative, user‑centric tools that support Clinical Science, Operations, Medical Writing, Regulatory, and Quality teams.What You’ll DoDevelop and deploy software that integrates LLMs and AI‑driven capabilitiesBuild intuitive front‑end interfaces and scalable backend servicesDesign and maintain RESTful APIs and deployment pipelinesWrite clean, well‑documented, testable code; participate in code reviewsStay current on AI/ML advancements and evaluate new technologiesCollaborate with data scientists, engineers, and product teams to embed AI into clinical development toolsMonitor production systems and optimize performanceWho You AreFull‑stack engineer with strong experience building AI‑enabled applicationsDeep understanding of modern AI/LLM capabilities, limitations, and best practicesStrong communicator who can work across scientific and technical teamsMinimum RequirementsBachelor’s or Master’s in CS, Engineering, Math, or related field5+ years full‑stack development experienceExpertise with Vue.js or React, plus backend frameworks (FastAPI, Django, Flask, Next.js)2+ years building or deploying AI/ML applicationsExperience with REST APIs, prompt engineering, and containerized workflows (Docker, Kubernetes)Strong automated testing skills (unittest, jest, Playwright)Familiarity with Agile developmentExperience with AWS, Snowflake, and scalable system designExperience integrating LLMs, RAG systems, or chatbotsPreferredExperience with LLM fine‑tuning, AI agents, HuggingFace, LangChain, TensorFlow, or PyTorchExperience with Office.js add‑ins, WebSockets, JWT, or CRDTs (Yjs)Background using NLP/LLMs on clinical text or knowledge of clinical development