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.
- Develop agents that invoke tools, call APIs, retrieve information, and take actions within enterprise guardrails.
- Own end-to-end delivery across user interfaces, application services, APIs, data access, agent orchestration, and enterprise integrations.
- Create reusable agent patterns, components, prompts, tools, and orchestration logic.
- Iterate on agent behavior using usage data, feedback, evaluations, benchmarking, and operational metrics.
- Support architecture, development, integration, deployment, monitoring, troubleshooting, and production optimization.
- Contribute to agent observability through logging, tracing, performance tracking, and issue analysis.
- Partner with platform, integration, data, security, and product teams to ensure secure, reliable, maintainable solutions.
- Define practices for agent design, tool use, fallback behavior, escalation, and human-in-the-loop workflows.
- Establish responsible standards, governance, and best practices for AI coding assistants and software engineering agents.
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.
- Demonstrated experience using AI-assisted development and autonomous coding agents to design, generate, test, review, debug, optimize, and refactor code.
- Deep understanding of AI-native software engineering practices and experience establishing governance and standards for AI development tools.
- Ability to move prototypes into production while balancing speed, quality, and operational rigor.
- Experience working directly with users or stakeholders to refine technical solutions.
- Knowledge of full-stack development, LLM application development, agentic workflow orchestration, prompt engineering, tool and API integration, evaluation, observability, distributed systems, secure development, enterprise integration, and cloud-based application development.
- Preferred qualifications include forward-deployed or embedded delivery experience, internal copilots or task-oriented agents, orchestration frameworks, retrieval patterns, enterprise collaboration and workflow integrations, AI evaluation frameworks, human-in-the-loop workflows, AI observability, and experience in regulated industries.
Benefits
- Base salary range is $166,640-$250,000, with annual bonus and equity eligibility.
- Benefits include medical, dental, vision, generous paid time off, summer and winter company shutdowns, educational assistance, student loan repayment, commuting subsidy, charitable donation matching, and 401(k).
- 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.