Senior Engineer, Full Stack Engineering
Trinity Life Sciences•Princeton, NJ
•$128,000 - $192,000•Hybrid
About The Position
We're looking for an exceptional engineer who loves building cloud-native applications with AI at their core. If you thrive where modern infrastructure meets intelligent software, this is your role.
Requirements
- 8+ years building production-grade solutions with proven tech leadership
- Expert in React web apps, React native with state management (Redux, Zustand), TypeScript, modern JavaScript, and responsive component libraries
- Expert in building AI applications with LangGraph, LangChain, LlamaIndex, AWS Bedrock, OpenAI APIs, including token optimization, cost management, and streaming responses
- Expert in Python and Django with REST and GraphQL API design, plus async patterns (asyncio, FastAPI) for AI workloads
- Experience with multi-modal AI (text, images, documents), fine-tuning, model adaptation, and understanding of data quality and governance in AI contexts
- Hands-on Docker and containerization with CI/CD pipeline creation (Git, Jenkins, Artifactory)
- Deep cloud platform development experience (AWS, Azure, GCP) with serverless, containers, and understanding of security, IAM, and authentication patterns (OAuth, JWT, SSO)
- Experience with RDBMS, NoSQL, and semantic databases, including schema design and query optimization
- Proficiency with testing frameworks (Jest, Pytest, Selenium) and build tools (Webpack, Vite) with Git workflows and trunk-based development
- Experience with monitoring and logging tools (CloudWatch, Sentry, Langfuse)
- Clear communicator who takes initiative, follows through, and thrives as a collaborative problem-solver in fast-paced environments
- Life sciences background
Nice To Haves
- 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
Responsibilities
- Architect and ship scalable cloud apps on AWS, Azure, or GCP (Lambda, ECS, Kubernetes) with event-driven microservices and serverless architectures
- Build AI/ML integrations using modern frameworks while driving best practices for prompt engineering, RAG patterns, and agent orchestration
- Lead technical architecture decisions, code reviews, and define development standards and technical roadmaps
- Own the full stack—from pixel-perfect, accessible UI implementation to robust Django REST and GraphQL APIs
- Build real-time features using WebRTC, WebSockets, and Server-Sent Events
- Create and enforce engineering excellence through coding standards, comprehensive testing strategies (unit, integration, agent-based, E2E), documentation, and deployment patterns
- Champion DevOps practices, security compliance, and CI/CD pipelines while establishing observability with APM tools
- Lead and mentor teams through agile delivery, establishing engineering culture through technical leadership and knowledge sharing
- Collaborate with data engineering teams on pipeline integration and consumption patterns
- Lead production incident response, post-mortems, and evaluate emerging AI/ML tools and frameworks
- Bridge product, design, and engineering to deliver fit-for-purpose client solutions
Benefits
- annual discretionary performance bonus
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
