Build cloud-native life-sciences apps with AI at their core, leading full-stack React/Django development, AI integrations, and DevOps on AWS/Azure/GCP.
Compensation
$128K–$192K / yr
Location
New York, NY
Work setup
Not specified
Seniority
Senior
Employment
Full time
Experience
8+ years
Category
Fullstack
Posted
Skills
agile
ai
api
api-design
artifactory
asyncio
authentication
aws
aws-bedrock
azure
ci-cd
cloud
cloud-native
cloudwatch
containerization
data-engineering
data-quality
devops
django
docker
ecs
event-driven-architecture
fastapi
fine-tuning
gcp
git
graphql
iam
javascript
jenkins
jest
jwt
kubernetes
lambda
langchain
langfuse
langgraph
llamaindex
llm
machine-learning
microservices
nosql
oauth
observability
openai
prompt-engineering
pytest
python
rdbms
react
react-native
redux
selenium
sentry
serverless
sso
typescript
vite
webpack
webrtc
websockets
zustand
Full description
Senior Full Stack Software Engineer
Location: Waltham, MA; New York, NY; Princeton, NJ
Employment Type: Full-Time
Work Mode: Hybrid
Position Summary
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.
What You'll Do
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
What You'll Bring
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)
Senior Engineer, Full Stack Engineering at trinitylifesciences (New York, NY) — aijobsearch
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
About Trinity
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 .
Trinity’s salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. The base salary range for this role is $128,000 - $192,000 per year. Compensation is determined based on factors such as the candidate’s skills, experience, job-related education and training, location, and internal equity. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.
Trinity’s Commitment to Inclusion & Engagement (I&E)
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.