Principal Full Stack AI Engineer

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 endfrom 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

• Designbuild and productionizefull-stackAIapplicationsagentsand 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 integrationdeployment 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

• Stay current on emerging patterns frameworks and technologies in generative AI and agentic systems and translate them into practical applications for Vertex

Required Qualifications

• Bachelors 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 production

• Experiencedesigning and delivering end-to-endapplicationsacross front-end back-endAPIs 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 qualitygroundedness 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