Sr. Engineer, Software Engineering

Trinity Life Sciences is committed to blending human and artificial intelligence to power the future of life sciences commercialization. They are seeking an exceptional engineer to architect and ship scalable cloud-native applications with AI at their core, leading technical architecture decisions and mentoring teams through agile delivery.

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
• Bachelor's degree (B.E/B.Tech preferred)
• 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