Principal Full Stack AI Engineer
Vertex Pharmaceuticals2 hours ago
Boston, MA, USAStaff+
Base Salary
$167k - $250k/yr
Responsibilities
- Design, build, and productionize full-stack AI applications, agents, and multi-step workflows for internal and user-facing use cases.
- Own end-to-end solution delivery across interfaces, application services, APIs, data access, agent orchestration, enterprise integrations, deployment, monitoring, troubleshooting, and optimization.
- Build agents that reason across steps, invoke tools, call APIs, retrieve information, and take actions within enterprise guardrails.
- Develop reusable agent patterns, prompts, tools, components, and orchestration logic that can scale across use cases.
- Iterate on agent behavior using usage data, stakeholder feedback, evaluation results, testing, experimentation, benchmarking, and operational metrics.
- Partner with platform, integration, data, security, and product teams to ensure solutions are secure, reliable, maintainable, and aligned with enterprise architecture.
- Define best practices for agent design, tool use, fallback behavior, escalation paths, human-in-the-loop workflows, and responsible AI.
- Contribute to observability for agent execution, including logging, tracing, performance tracking, and issue analysis.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field, or equivalent practical experience.
- Experience in full-stack software engineering, AI engineering, machine learning engineering, or intelligent application development.
- Hands-on experience building and operating production applications powered by large language models, AI workflows, or agentic systems.
- Experience delivering end-to-end applications across front-end, back-end, APIs, data stores, and enterprise systems.
- Experience using AI-assisted software development and autonomous coding agents to design, generate, test, review, debug, optimize, and refactor code across complex enterprise systems.
- Deep understanding of AI-native software engineering practices and experience establishing standards, governance, and responsible-use practices for AI coding assistants and software engineering agents.
- Ability to move prototypes into production while balancing speed, quality, and operational rigor.
- Experience working directly with users or stakeholders to iteratively refine technical solutions based on real-world needs.
- Strong problem-solving, systems-thinking, written communication, and verbal communication skills.
- Knowledge of full-stack application development, large language model application development, agentic workflow orchestration, prompt engineering, tool and API integration, AI evaluation, application observability, API design, service development, data modeling, distributed systems, secure software development, enterprise integration, cloud application development, version control, and deployment practices.
- Preferred qualifications include experience with forward deployed or embedded delivery models, internal copilots or task-oriented agents, orchestration frameworks, agent runtimes, tool-calling architectures, retrieval patterns, enterprise collaboration and workflow systems, AI evaluation frameworks, human-in-the-loop workflows, safe failure mechanisms, AI observability, and regulated industries such as biotechnology, pharmaceuticals, healthcare, or life sciences.
Benefits
- Hybrid-eligible or on-site eligible; hybrid employees may work remotely up to two days per week, while on-site employees work five days per week on-site with ad hoc flexibility.
- Medical, dental, and vision benefits; generous paid time off; week-long summer and winter company shutdowns; educational assistance including student loan repayment; commuting subsidy; charitable donation matching; 401(k); and additional wellbeing and family support benefits.
- The role is eligible for an annual bonus and annual equity awards, with possible overtime eligibility according to applicable requirements.