Principal Full Stack AI Engineer
Description
Job Description
Position Summary
Vertex is seeking an AI Full-Stack Engineer to create the next generation of AI -powered applications and agents 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 candidate combines strong full-stack software engineering fundamentals 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, connect applications and agents to enterprise systems, and continuously improve quality through measurement and feedback. The AI Full-Stack Engineer will help shape how secure, reliable, and scalable AI solutions are adopted across Vertex.
Key Responsibilities
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Design, build , and productionize full-stack AI applications, agents , and multi-step workflows for internal and user-facing use cases
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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
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Build agents that can reason across steps, invoke tools, call APIs, retrieve information, and take actions within defined enterprise guardrails
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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
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Develop reusable agent patterns, components, prompts, tools, and orchestration logic that can be scaled across use cases
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Rapidly iterate on agent behavior based on usage data, qualitative feedback, evaluation results, and operational metrics
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Improve agent quality through testing, experimentation, benchmarking, and structured measurement of outcomes
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Partner with platform, integration, data, security, and product teams to ensure agents are secure, reliable, maintainable, and aligned with enterprise architecture
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Help define best practices for agent design, tool use, fallback behavior, escalation paths, and human-in-the-loop workflows
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Support the complete software lifecycle, including architecture, development, integration, deployment, monitoring, troubleshooting, and optimization in production environments
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Contribute to observability practices for agent execution, including logging, tracing, performance tracking, and issue analysis
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Ensure solutions are designed with security, compliance, and responsible AI principles in mind
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Stay current on emerging patterns, frameworks, and technologies in generative AI and agentic systems, and translate them into practical applications for Vertex
Required Qualifications
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Bachelor’s degree in Computer Science , Software Engineering, Artificial Intelligence, Data Science, or a related technical field; equivalent practical experience may be considered
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Experience in full-stack software engineering, AI engineering, machine learning engineering, or intelligent application development
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Hands-on experience building and operating production applications powered by large language models, AI workflows, or agentic systems
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Experience designing and delivering end-to-end applications across front-end, back-end, APIs, data stores , and enterprise systems
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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.
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Deep understanding of AI-native software engineering practices and experience establishing standards, governance, and best practices for the responsible use of AI coding assistants and software engineering agents across engineering teams
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Demonstrated ability to move from prototype to production while balancing speed, quality, and operational rigor
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Experience working directly with users or stakeholders to iteratively refine technical solutions based on real-world needs
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Strong problem-solving and systems -thinking skills
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Strong written and verbal communication skills with the ability to work effectively across technical and non-technical teams
Technical Skills Required
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Full-stack application development across modern front-end and back-end technologies
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Large language model application development
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Agentic workflow design and orchestration
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Prompt engineering and prompt iteration
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Tool use and API integration for AI agents
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Multi-step workflow automation
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Rapid prototyping and productionization
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Evaluation, testing, and quality measurement for AI systems
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Application logging, monitoring, and observability
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API design, service development, data modeling, and application architecture
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Distributed systems and service integration
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Secure software development practices
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Enterprise application integration
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Cloud-based application development
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Version control, CI/CD, and deployment practices
Preferred Skills
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Experience using a forward deployed engineering or similar embedded delivery model
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Experience building internal copilots, assistants, or task-oriented AI agents
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Familiarity with orchestration frameworks, agent runtimes, tool-calling architectures, and retrieval patterns
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Experience integrating with enterprise collaboration tools, workflow systems, document platforms, or knowledge repositories
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Familiarity with evaluation frameworks for AI quality, groundedness , task completion, and reliability
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Experience designing human-in-the-loop workflows and safe failure or escalation mechanisms
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Exposure to AI observability, tracing, and operational analytics
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Experience in regulated industries such as biotechnology, pharmaceuticals, healthcare, or life sciences
#LI-Hybrid
At Vertex, we embrace continuous learning and encourage employees to stay informed on advances in AI, technology, automation, and industry trends. We seek talent who bring an external perspective, demonstrate curiosity and sound judgment, and thoughtfully adopt new capabilities that improve decision-making, drive innovation, increase efficiency, and help deliver better outcomes for patients.
Pay Range
$166,640 - $250,000
Disclosure Statement
The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
Flex Designation
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status
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.
#LI-Hybrid
Company Information
Vertex is a global biotechnology com