Senior Engineer, Full Stack Engineering

Experteer 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 / Benefits * Architect and ship scalable cloud applications on AWS/Azure/GCP using event-driven microservices and serverless patterns * Integrate AI/ML capabilities with emphasis on prompt engineering, RAG, and agent orchestration * Provide technical leadership: architecture decisions, code reviews, and development standards * Own full stack from UI to Django REST/GraphQL APIs * Implement real-time features with WebRTC/WebSockets/SSE * Promote engineering excellence: testing strategies, documentation, deployment patterns * Drive DevOps, security, CI/CD, and observability via APM tools * Lead agile delivery and mentor teams, fostering engineering culture * Collaborate with data engineering on pipelines and consumption patterns * Lead production incident response, post-mortems, and evaluate AI/ML tooling * Bridge product, design, and engineering to deliver fit-for-purpose client solutions Tasks * 8+ years in production-grade solutions with proven tech leadership * Expertise in React web apps, React Native, TypeScript, modern JavaScript, and responsive component libraries * Proven AI application experience with LangGraph, LangChain, LlamaIndex, AWS Bedrock, OpenAI APIs * Strong Python and Django with REST/GraphQL API design, asyncio/FastAPI for AI workloads * Experience with multi-modal AI, fine-tuning, data governance in AI contexts * Hands-on Docker and CI/CD pipeline creation with Git/Jenkins/Artifactory * Deep cloud platform development (AWS/Azure/GCP) including serverless, containers, IAM, OAuth/JWT/SSO * RDBMS, NoSQL, semantic databases knowledge plus schema design and query optimization * Testing frameworks (Jest, Pytest, Selenium) and build tools (Webpack, Vite) with trunk-based development * Monitoring/logging tools (CloudWatch, Sentry, Langfuse) * Clear communicator, proactive, collaborative in fast-paced settings * Life sciences background * Cloud or AI developer certifications (AWS/Azure/GCP) * Shipped AI-powered features to production * LLM and AI agent development experience * Open-source contributions * PWA development and edge computing optimization Key requirements * base salary with discretionary annual bonus * hybrid work mode * location options: Waltham, MA; New York, NY; Princeton, NJ * career growth and leadership opportunities * benefits package (health, etc.)

MA, * Promote engineering excellence: testing strategies, documentation, deployment patterns * Drive DevOps, security, CI/CD, and observability via APM tools * Lead agile delivery and mentor teams, fostering engineering culture * Collaborate with data engineering on pipelines and consumption patterns * Lead production incident response, post-mortems, and evaluate AI/ML tooling * Bridge product, design, and engineering to deliver fit-for-purpose client solutions Tasks * 8+ years in production-grade solutions with proven tech leadership * Expertise in React web apps, React Native, TypeScript, modern JavaScript, and responsive component libraries * Proven AI application experience with LangGraph, LangChain, LlamaIndex, AWS Bedrock, OpenAI APIs * Strong Python and Django with REST/GraphQL API design, asyncio/FastAPI for AI workloads * Experience with multi-modal AI, fine-tuning, data governance in AI contexts * Hands-on Docker and CI/CD pipeline creation with Git/Jenkins/Artifactory * Deep cloud platform development (AWS/Azure/GCP) including serverless, containers, IAM, OAuth/JWT/SSO * RDBMS, NoSQL, semantic databases knowledge plus schema design and query optimization * Testing frameworks (Jest, Pytest, Selenium) and build tools (Webpack, Vite) with trunk-based development * Monitoring/logging tools (CloudWatch, Sentry, Langfuse) * Clear communicator, proactive, collaborative in fast-paced settings * Life sciences background * Cloud or AI developer certifications (AWS/Azure/GCP) * Shipped AI-powered features to production * LLM and AI agent development experience * Open-source contributions * PWA development and edge computing optimization Key requirements * base salary with discretionary annual bonus * hybrid work mode * location options: Waltham, MA; New York, NY; Princeton, NJ * career growth and leadership opportunities * benefits package (health, etc.)