JetBridge - Full-Stack Engineer (AI & LLM Integration)
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• 4+ years of professional full-stack development experience (comfortably operating at a strong Mid to Senior level). • Deep expertise in React and Next.js. • Experience building production-grade backends (Node.js) and deploying apps to stable cloud environments. • Hands-on experience integrating LLMs, managing image generation pipelines, handling API rate limits, and implementing orchestration frameworks (e.g., LangChain, LlamaIndex, or custom structured outputs). • A "scrappy but disciplined" engineer who isn't afraid to dig into messy, auto-generated code and systematically refactor it without losing momentum. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• Clean up, refactor, and modularize a rapid-prototype React/Next.js frontend. Design and implement a robust, production-ready backend architecture from scratch. • Move direct LLM API calls into a structured orchestration layer. Build and optimize advanced prompt engineering workflows and image generation pipelines (specifically leveraging OpenAI's image generation models/DALL-E). • Set up data ingestion workflows to parse clinical study protocols. Prepare and structure internal ad-performance training data for potential LLM fine-tuning. • Own the deployment, hosting, and monitoring strategy to transition the app from a fragile prototype to a stable, scalable MVP. • Ensure best practices for data handling (Note: the app processes study protocols and marketing data, not patient data/PHI, so full HIPAA/SOC 2 compliance is not required for this phase).
No credit card. Takes 10 seconds.