New Products & Strategies Summer Intern –… at Trinity Life… · Swan…

Summary: Trinity Life Sciences is a leader in the life sciences industry, dedicated to providing data and analytics to assist pharmaceutical companies. They are seeking a Generative AI Engineering Intern to help design and build AI-powered applications and workflows that enhance their product offerings for clients. Responsibilities: - Support the design and development of AI-powered agents and agentic workflows for life sciences use cases, including research copilots, data analysis pipelines, and decision-support tools - Build and integrate LLM-based applications using modern frameworks (e.g., LangChain, LangGraph, or similar orchestration tools) - Experiment with prompting strategies, tool use, memory, and retrieval (RAG) to improve agent performance and reliability - Research emerging techniques in generative AI, including multi-agent systems, tool calling, and model optimization - Collaborate with engineers, data scientists, and domain experts to translate business and scientific requirements into AI-driven solutions Required Qualifications: - Candidates should be enrolled in a graduate or undergraduate program in computer science, engineering, mathematics, or related field - Strong programming skills in TypeScript and JavaScript, with experience building backend services and APIs using Node.js - Comfortable working in a modern TypeScript ecosystem: package managers, linting/formatting, unit/integration testing, and basic build tooling - Familiarity with AI coding assistants and agentic development tools such as GitHub Copilot, Claude Code, Cursor, or similar tools used to navigate, refactor, and extend real-world codebases - Experience integrating external APIs (REST/JSON), handling authentication, and managing configuration via environment variables and secrets - Understanding of core software engineering practices: Git-based workflows, code reviews, debugging, and writing maintainable, well-structured code in a team setting - Interest in or experience with LLM-based applications (chatbots, assistants, copilots) and calling model APIs from TypeScript/Node.js - Ability to work independently on well-scoped tasks, ask good questions, and communicate clearly with both technical and non-technical stakeholders Required Skills: TypeScript, JavaScript, Node.js, Backend services development, API integration, REST/JSON, Authentication management, Environment variable management, Git workflows, Code reviews, Debugging, Unit, integration testing, LLM-based applications, Agentic development tools, Prompting strategies, Multi-agent systems, Model optimization, Questioning, Independent work