Full Stack AI Engineer

Benefits Hybrid Work Options Award-Winning Culture Generous Personal Time Off (PTO) 14 Weeks of 100% Paid Leave for New Parents (Adoption Included) Monthly Gym Membership Reimbursement or Gym Equipment Reimbursement Benefits Eligibility Effective Day One 401K with Employer Match Tuition Reimbursement After One Year of Service Fertility Assistance Program Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service Role Overview The Full Stack AI Engineer is a hybrid technical and client‑facing role responsible for designing, developing, and deploying applications that embed generative AI. The position is grounded in full‑stack engineering throughout the full delivery lifecycle and extends that foundation by integrating large language models, agents, and LLM‑based workflows as integral components of the application architecture. Responsibilities Deliver AI‑powered, full‑stack software solutions in coordination with end users and business professionals. Serve as a technical point of contact for clients, building strong relationships with technical and non‑technical stakeholders. Share insights and best practices from client engagements to improve internal tools, playbooks, and direction. Collaborate with business professionals and customers to understand their needs and help identify high‑value use cases for AI‑powered software. Contribute to the end‑to‑end delivery of AI‑powered, full‑stack software solutions, including discovery, scoping, system design, development, and rollout to real users. Build and deploy full‑stack applications with generative AI engineered into the software, such as LLM‑based workflows and agent‑based systems within client infrastructure. Work within client and business environments to support successful adoption, performance, and measurable business outcomes. Deliver AI‑powered software that serves real users, addresses real‑world problems, and generates tangible ROI. Support continuous improvement by iterating on deployed solutions and optimizing performance and user adoption. Balance speed, scope, and quality to ensure timely and effective delivery of high‑impact projects. Make extensive use of AI‑assisted coding and engineering workflows to deliver scalable, performant software. Qualifications Bachelor’s or master’s degree in computer science, engineering, AI/ML, or a related field (or equivalent relevant work experience). Foundation in software engineering with exposure to machine learning or solutions engineering environments. Exposure to, or strong interest in, integrating generative AI including large language models and agent frameworks into user‑facing applications. Familiarity with, or demonstrated interest in, building agent‑based solutions using frontier language models. Client‑facing or consulting‑style experience is a plus. Proficiency in at least one general‑purpose programming language, such as Python or TypeScript/JavaScript. Demonstrated experience building a full‑stack application end to end, e.g., a component‑based front end (such as React) backed by an API service (such as Node/TypeScript or Python/FastAPI). Solid grasp of engineering fundamentals: APIs, data modeling and databases, version control (Git), testing, and debugging. Conceptual familiarity with system architecture and cloud platforms (e.g., AWS, Azure, or GCP) and a general understanding of how to make an application available to real users. Experience integrating, or strong interest in integrating, generative AI into applications, including large language models, agent frameworks (e.g., LangChain, LangGraph, AutoGen, or similar), and vector databases. Familiarity with AI‑assisted coding tools such as Claude Code or Codex. Valid driver’s license required. May directly supervise employees and carry out supervisory responsibilities in accordance with the Firm’s policies and applicable laws. Legal and EEO Statements Ryan, LLC is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. Discrimination is prohibited on the basis of race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran or any other protected status under applicable law. Ryan’s policy is to make reasonable accommodation for qualified individuals with disabilities. Work Environment Standard indoor working environment. Occasional long periods of sitting while working at a computer. Position requires regular interaction with employees and clients both in person, via e‑mail, and telephone. #J-18808-Ljbffr