Principal Full Stack AI Engineer

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

• Design, build, and productionize full-stack AI applications, 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

• Support the 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

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

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field; equivalent practical experience may be considered

• 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 designing and delivering end-to-end applications across front-end, back-end, APIs, data stores, 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 experience establishing standards, 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 and systems-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 and productionization

• 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