Senior Engineer, Full Stack Engineering

Overview In this role you will build cloud-native applications with AI at the core, shaping scalable, data-driven software for life sciences. You will work across frontend and backend to deliver integrated AI features and robust APIs, while driving engineering excellence and DevOps practices. You’ll collaborate with cross-functional teams to align product and technology roadmaps, and mentor others in a fast-paced, innovative environment. This is a hands-on leadership role with a clear impact on product delivery and platform maturity. Compensation / Benefitsbase salary with discretionary annual bonushybrid work modelocation options: Waltham, MA; New York, NY; Princeton, NJcareer growth and leadership opportunitiesbenefits package (health, etc.) ResponsibilitiesArchitect and ship scalable cloud applications on AWS/Azure/GCP using event-driven microservices and serverless patternsIntegrate AI/ML capabilities with emphasis on prompt engineering, RAG, and agent orchestrationProvide technical leadership: architecture decisions, code reviews, and development standardsOwn full stack from UI to Django REST/GraphQL APIsImplement real-time features with WebRTC/WebSockets/SSEPromote engineering excellence: testing strategies, documentation, deployment patternsDrive DevOps, security, CI/CD, and observability via APM toolsLead agile delivery and mentor teams, fostering engineering cultureCollaborate with data engineering on pipelines and consumption patternsLead production incident response, post-mortems, and evaluate AI/ML toolingBridge product, design, and engineering to deliver fit-for-purpose client solutions Key requirements8+ years in production-grade solutions with proven tech leadershipExpertise in React web apps, React Native, TypeScript, modern JavaScript, and responsive component librariesProven AI application experience with LangGraph, LangChain, LlamaIndex, AWS Bedrock, OpenAI APIsStrong Python and Django with REST/GraphQL API design, asyncio/FastAPI for AI workloadsExperience with multi-modal AI, fine-tuning, data governance in AI contextsHands-on Docker and CI/CD pipeline creation with Git/Jenkins/ArtifactoryDeep cloud platform development (AWS/Azure/GCP) including serverless, containers, IAM, OAuth/JWT/SSORDBMS, NoSQL, semantic databases knowledge plus schema design and query optimizationTesting frameworks (Jest, Pytest, Selenium) and build tools (Webpack, Vite) with trunk-based developmentMonitoring/logging tools (CloudWatch, Sentry, Langfuse)Clear communicator, proactive, collaborative in fast-paced settingsLife sciences backgroundCloud or AI developer certifications (AWS/Azure/GCP)Shipped AI-powered features to productionLLM and AI agent development experienceOpen-source contributionsPWA development and edge computing optimizationclear communicatorinitiativecollaborative problem-solverReact with Redux/ZustandTypeScript and modern JavaScriptDjango REST and GraphQL API design