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About the Role
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.
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
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
- 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
Skills
- React
- React Native
- Redux
- Zustand
- TypeScript
- JavaScript
- LangGraph
- LangChain
- LlamaIndex
- AWS Bedrock
- OpenAI APIs
- Python
- Django
- REST APIs
- GraphQL APIs
- asyncio
- FastAPI
- Docker
- CI/CD
- Git
- Jenkins
- Artifactory
- AWS
- Azure
- GCP
- serverless
- containers
- OAuth
- JWT
- SSO
- RDBMS
- NoSQL
- semantic databases
- Jest
- Pytest
- Selenium
- Webpack
- Vite
- CloudWatch
- Sentry
- Langfuse
- WebRTC
- WebSockets
- Server-Sent Events
Location
- Waltham, MA
- New York, NY
- Princeton, NJ
Work Type
- Full-Time
- Hybrid
Experience Level
- Senior
- 8+ years building production-grade solutions with proven tech leadership
Education Level
- Cloud or AI developer certifications (AWS/Azure/GCP)
Salary/Compensations
- $128,000 - $192,000 per year
Benefits
- Annual discretionary performance bonus
About the Company
- Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence.
- By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey—from pre-launch to scale to loss of exclusivity.
- For more than 30 years, the world’s leading pharmaceutical, biotech, and medtech companies have relied on Trinity’s foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact.
- During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership.
- For more information, visit Trinity at www.trinitylifesciences.com.
Equal Opportunity
- Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals.
- At Trinity, inclusion and engagement are at the heart of how we work and grow together.
- We’ve evolved from a traditional “DEI” framework to Inclusion & Engagement (I&E)—a model that moves beyond representation to focus on connection, collaboration, and shared purpose.
- Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully.
- By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives—they are part of how we build teams, make decisions, and deliver excellence every day.
- Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities.
- For more information about Trinity’s commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences.