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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Full Stack AI Engineer - **Company:** Vertex Pharmaceuticals Incorporated - **Location:** Boston, MA, United States (Remote available) - **Salary:** $166,640.0 - $250,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Software Applications, Application Services, Cloud Computing, Continuous Integration, Data Security, Data Stores, Software Debugging, Distributed Systems, Design of User Interfaces, Machine Learning, Rapid Prototyping Process, Service Development Studio, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Application Integration, Data Logging, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Kubernetes, Information Technology, Front End Software Development, Api Design, Software Version Control, Automation Anywhere - **Published:** August 5, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87914606/1 ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field; equivalent practical experience may be considered * Experience infull-stacksoftware engineering, AI engineering, machine learning engineering, or intelligent application development * Hands-on experience buildingand operating productionapplications powered by large language models, AI workflows, or agentic systems * Experiencedesigning and delivering end-to-endapplicationsacross front-end, back-end,APIs, datastores, and enterprise systems * Demonstrated 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 experienceestablishingstandards, governance, and best practices for the responsible use of AI coding assistants and software engineering agents across engineering teams * Demonstrated ability to move from prototype to 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 andsystems-thinking skills * Strong written and verbal communication skills with the ability to work effectively across technical and non-technical teams Technical Skills Required * Full-stack application development across modern front-end and back-end technologies * Large language model application development * Agentic workflow design and orchestration * Prompt engineering and prompt iteration * Tool use and API integration for AI agents * Multi-step workflow automation * Rapid prototyping andproductionization * Evaluation, testing, and quality measurement for AI systems * Application logging, monitoring, and observability * API design, service development, data modeling, and application architecture * Distributed systems and service integration * Secure software development practices * Enterprise application integration * Cloud-based application development * Version control, CI/CD, and deployment practices Preferred Skills * Experience using a forward deployed engineering or similar embedded delivery model * Experience building internal copilots, assistants, or task-oriented AI agents * Familiarity with orchestration frameworks, agent runtimes, tool-calling architectures, and retrieval patterns * Experience integrating with enterprise collaboration tools, workflow systems, document platforms, or knowledge repositories * Familiarity with evaluation frameworks for AI quality,groundedness, task completion, and reliability * Experience designing human-in-the-loop workflows and safe failure or escalation mechanisms * Exposure to AI observability, tracing, and operational analytics * Experience in regulated industries such as biotechnology, pharmaceuticals, healthcare, or life sciences, Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Human Resources at ApplicationAssistance@vrtx.com. ## Description Vertex is seeking anAI Full-StackEngineer to create the next generation of AI-powered applications andagents that deliver practical value across internal and user-facing experiences.This role will own solutions end to end-from user experience and application services to agent orchestration, data access, platform integration, deployment, and production operations. The ideal candidatecombinesstrongfull-stack softwareengineeringfundamentals with hands-on experience building AI-enabled products.This individual will use a forward deployed engineering mindset to work closely with stakeholders, rapidly iterate on real-world use cases, connectapplications andagents toenterprisesystems, and continuously improve quality through measurement and feedback.The AI Full-StackEngineer willhelp shapehowsecure, reliable, and scalable AI solutionsare adopted across Vertex. Key Responsibilities * Design,build, and productionizefull-stackAIapplications,agents,and multi-step workflows for internal and user-facing use cases * Apply a forward deployed engineering approach by working closely with end users, product teams, and business stakeholders to solve real workflow problems quickly and effectively * Build agents that can reason across steps, invoke tools, call APIs, retrieve information, and take actions within defined enterprise guardrails * Own end-to-end solution delivery across user interfaces, application services, APIs, data access, agent orchestration, and integrations with internal platforms, third-party applications, and business-critical systems * Develop reusable agent patterns, components, prompts, tools, and orchestration logic that can be scaled across use cases * Rapidly iterate on agent behavior based on usage data, qualitative feedback, evaluation results, and operational metrics * Improve agent quality through testing, experimentation, benchmarking, and structured measurement of outcomes * Partner with platform, integration, data, security, and product teams to ensure agents are secure, reliable, maintainable, and aligned with enterprise architecture * Help define best practices for agent design, tool use, fallback behavior, escalation paths, and human-in-the-loop workflows * Supportthe complete software lifecycle, including architecture, development, integration,deployment, monitoring, troubleshooting, and optimization in production environments * Contribute to observability practices for agent execution, including logging, tracing, performance tracking, and issue analysis * Ensure solutions are designed with security, compliance, and responsible AI principles in mind, In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. ## Related Videos - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)