Senior Full Stack Engineer - AI

Senior Full Stack Engineer – AILocation: Hybrid – Tempe, AZ or Burbank, CA Work Arrangement: Hybrid, with onsite requirements varying by location Salary Range: $135,000–$163,000 Position OverviewOur client is seeking a Senior Full Stack Engineer – AI to join a growing AI-focused engineering organization. This role will be instrumental in developing the next generation of intelligent software applications and business systems. The Senior Full Stack Engineer will take end-to-end ownership of complex features and technical domains, contribute to architecture and design decisions, and help establish engineering best practices across the team. This position requires a highly autonomous engineer who can work across the full technology stack while also contributing to the development of AI-powered and agentic applications. The ideal candidate combines strong full stack development expertise with hands-on experience integrating large language models and AI technologies into production applications. Key ResponsibilitiesFull Stack EngineeringDesign, build, and maintain scalable full stack applications using Python, FastAPI, React.js, and TypeScript.Own the architecture of one or more product domains, including API design, data modeling, and frontend component strategy.Build RESTful APIs and event-driven microservices with an emphasis on reliability, observability, scalability, and security.Implement and maintain CI/CD pipelines and establish deployment standards and release quality gates.Optimize application performance across the technology stack, including backend throughput, frontend rendering, and database query efficiency.Develop solutions that are scalable, maintainable, secure, and production-ready.AI & Agentic Application DevelopmentIntegrate large language model (LLM) services, including platforms such as OpenAI and Anthropic, into production applications.Use AI orchestration frameworks such as LangChain, LangGraph, or comparable technologies.Contribute to the design and development of agentic user experiences, including conversational, workflow-driven, and context-aware interfaces.Implement and extend tooling that enables AI agents to securely interact with application data and business functionality.Apply prompt engineering techniques and participate in AI evaluation processes to improve the reliability and quality of AI-powered features.Help establish engineering patterns and best practices for incorporating AI capabilities into enterprise applications.Technical Leadership & CollaborationLead architecture discussions and document significant technical decisions through Architecture Decision Records (ADRs).Participate in architecture reviews and contribute to technical standards across the engineering organization.Conduct thoughtful code reviews that improve code quality and engineering practices.Mentor mid-level and junior engineers through pair programming, design sessions, technical guidance, and knowledge sharing.Collaborate with Product Management, UX, DevOps/SRE, QA/QE, and other cross-functional teams to deliver production-ready solutions.Participate in Agile ceremonies, including sprint planning, backlog refinement, and release planning.Create and maintain clear technical documentation, runbooks, and onboarding materials.Engineering QualityWrite comprehensive unit, integration, and end-to-end tests.Maintain strong test coverage and engineering quality standards.Identify and proactively address technical debt.Lead or contribute to refactoring initiatives with consideration for business value and technical impact.Uphold engineering quality gates covering linting, static analysis, security scanning, performance, and reliability.Required QualificationsBachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.6–10+ years of professional software engineering experience with demonstrated growth in scope, ownership, and technical impact.Strong proficiency in Python and hands-on production experience with FastAPI or a comparable asynchronous web framework.Strong expertise in React.js and TypeScript.Experience with modern frontend state management approaches such as Redux, Zustand, or Context API.Demonstrated experience designing and consuming RESTful APIs and working with microservices architectures.Strong understanding of relational databases such as PostgreSQL or MySQL.Experience with NoSQL databases such as MongoDB and familiarity with ORMs.Experience with CI/CD technologies such as GitHub Actions, Jenkins, or Azure DevOps.Experience with containerization technologies, including Docker and familiarity with Kubernetes.Exposure to AWS or Azure cloud-native deployment patterns.Demonstrated experience integrating LLM APIs or developing AI-powered product features.Experience implementing JWT/OAuth2 authentication and API security best practices.Preferred QualificationsExperience with LangChain, LangGraph, or comparable AI orchestration frameworks.Familiarity with vector databases and semantic search technologies such as pgvector, Pinecone, or Weaviate.Experience with real-time communication patterns, including WebSockets, Server-Sent Events (SSE), and streaming APIs.Experience developing agentic applications or AI-enabled workflows.Experience in entertainment, media, payroll, fintech, or other complex enterprise software environments.Familiarity with Agile Release Train (ART) planning or SAFe methodologies.Experience working in highly regulated, security-conscious, or enterprise-scale environments.Additional RequirementsAbility to work in a hybrid environment with regular onsite collaboration.Availability to participate in on-call support as needed for production incidents and scheduled releases.Ability to participate in occasional early-morning or evening meetings to collaborate with distributed teams.Ability to work for extended periods at a computer workstation and perform standard computer-related tasks.