Principal Full Stack Engineer, Apps Development

Raymond James•Saint Petersburg, FL

7d•Hybrid

About The Position

We are seeking an experienced Principal Full Stack Application Developer to lead the architecture, design, and development of enterprise applications and next-generation Agentic AI solutions that automate business processes across the firm. This individual serves as the technical leader responsible for defining and implementing the architecture for AI-powered workflows, intelligent agents, and enterprise integrations while remaining a hands-on full stack engineer. The role combines expertise in Angular, Java, Spring Boot, enterprise integration, and modern AI technologies to build scalable, secure, and maintainable automation solutions that improve operational efficiency and business outcomes. The ideal candidate possesses extensive experience designing enterprise software architectures and is comfortable evaluating, integrating, and applying a rapidly evolving AI ecosystem—including LLMs, agent frameworks, MCP, vector databases, prompt engineering, and AI-assisted development tools—to solve complex business problems. This position follows a hybrid work model, with an expectation to be in the office 3 days per week at the St. Petersburg, FL Corporate Office location. Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.

Requirements

10+ years of experience designing, developing, and supporting enterprise software applications.
5+ years of technical leadership experience leading development teams and enterprise software initiatives.
Expert knowledge of Java (17+), Spring Boot, Spring Framework, Angular (16+), RESTful APIs, and microservices.
Strong understanding of object-oriented programming, software architecture, design patterns, and secure coding practices.
Experience designing scalable enterprise applications and distributed systems.
Experience with SQL, enterprise integration patterns, messaging platforms (IBM MQ, Kafka, or similar), and API-driven architectures.
Experience with CI/CD pipelines, Git, automated testing, and DevOps practices.
Demonstrated ability to evaluate new technologies and recommend technical solutions that align with business objectives.
Strong leadership, mentoring, communication, and problem-solving skills.

Nice To Haves

Experience designing or developing Agentic AI solutions or intelligent business automation workflows.
Experience integrating Large Language Models (LLMs) into enterprise applications.
Familiarity with AI engineering concepts including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), prompt engineering, vector databases, semantic search, and AI orchestration frameworks.
Experience evaluating and integrating commercial AI platforms and development tools such as Claude Code, GitHub Copilot, ChatGPT, Gemini, or similar technologies.
Experience applying AI-assisted development techniques to improve engineering productivity, code quality, testing, documentation, and software delivery.

Responsibilities

Lead the architecture, design, and implementation of enterprise Agentic AI solutions that automate complex business processes across the organization.
Define technical standards and architectural patterns for intelligent agents, multi-agent systems, orchestration workflows, and AI-enabled enterprise applications.
Design and develop agentic workflows that combine deterministic business rules, enterprise integrations, retrieval systems, and AI reasoning to deliver reliable and scalable business automation.
Evaluate, prototype, and integrate emerging AI technologies, frameworks, and tools to continuously improve engineering productivity and business capabilities.
Drive the firm's adoption of AI engineering best practices, including prompt engineering, model evaluation, retrieval-augmented generation (RAG), Model Context Protocol (MCP), vector search, tool calling, and AI governance.
Lead full stack development efforts using Angular, Java, Spring Boot, REST APIs, and enterprise integration patterns.
Design reusable frameworks and platform capabilities that enable development teams to rapidly build and deploy intelligent agents.
Collaborate with Architecture, Security, Infrastructure, Product Owners, and business stakeholders to identify automation opportunities and define scalable technical solutions.
Mentor engineers in modern AI engineering techniques, full stack development, and enterprise software architecture.
Lead technical design sessions, perform architecture reviews, conduct code reviews, and establish engineering standards.
Apply AI-assisted software development tools to accelerate development, testing, debugging, documentation, and delivery while maintaining high engineering quality.
Participate in production support, troubleshooting, performance tuning, and continuous platform improvement.