Senior Full Stack AI Engineer

Company Overview

Waterloo Data was founded in 2009 with the mission of delivering exceptional consulting services in data management, AI, application development, and cloud engineering.

Job Overview

We are seeking a highly skilled and energetic Senior Full Stack AI Engineer to join our team. This person will lead the design, development, and deployment of enterprise-grade AI-powered applications that leverage Large Language Models (LLMs) including Claude (Anthropic) and ChatGPT/OpenAI models within a Microsoft Azure and Databricks environment. This role serves as a technical authority, driving architectural decisions, mentoring engineering peers, and partnering with business stakeholders to translate complex requirements into scalable, production-ready AI solutions

Duties

• Architect, develop, and own end-to-end delivery of enterprise AI-powered applications using Claude, ChatGPT, OpenAI APIs, Anthropic APIs, and other LLM platforms, establishing reusable patterns and engineering standards for the team.
• Lead the design and implementation of intelligent agents, copilots, agentic workflows, and knowledge management systems; define architectural guardrails and review implementations across the engineering team.
• Lead front-end architecture decisions and build highly scalable applications using React, Next.js, Angular, or similar frameworks; enforce coding standards, accessibility, and performance benchmarks.
• Design and govern secure authentication, authorization, and user management systems across AI application surfaces, ensuring compliance with organizational security standards.
• Champion user experience quality by developing and reviewing responsive interfaces that enable intuitive, high-performance interaction with AI systems.
• Drive advanced prompt engineering, multi-step agent workflow design, memory and context management, and MCP-based tool integrations; establish evaluation frameworks and best practices adopted across the engineering organization.
• Own AI model performance evaluation and optimization programs, defining benchmarks for accuracy, latency, cost, and user experience; lead trade-off decisions and communicate findings to technical and non-technical stakeholders.

Experience/Skills

• 8+ years of experience in software engineering. Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. Master's degree preferred
• 4+ years focused on AI/ML product development
• Expert-level Python programming and backend application development, including design of high-performance, concurrent, and fault-tolerant services at scale.
• Proficiency in modern front-end technologies including React, Next.js, Angular, JavaScript, Type Script, HTML, and CSS.
• Strong experience developing APIs and services using FastAPI, Flask, Django, or similar frameworks.
• Expert-level mastery of software engineering principles, distributed systems design patterns, system architecture, and full software development lifecycle (SDLC) practices, with the ability to set technical direction and establish engineering standards.
• Deep expertise in Large Language Models (LLMs), Generative AI, advanced prompt engineering, Retrieval-Augmented Generation (RAG), multi-step AI agent frameworks, and emerging AI architectures; ability to evaluate new capabilities and translate them into production strategy.
• Knowledge of AI platforms and APIs, including OpenAI (ChatGPT), Anthropic Claude, and other enterprise AI services.
• Understanding of cloud computing platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
• Knowledge of relational, No
  
  SQL, and vector database technologies.
• Familiarity with API development, microservices architecture, authentication protocols, and system integrations.
• Understanding of AI governance, data privacy, cybersecurity, and responsible AI practices.

Pay: $ - $ per year

Benefits:

• 401(k)
• Dental insurance
• Retirement plan

Experience:

• Software development: 8 years (Required)

Ability to Commute:

• Bee Cave, TX 78738 (Required)

Work Location:

In person