{"schemaVersion":"jobsearcher.job.v1","id":"f7ce784d417adb26c82f53e4","url":"https://jobsearcher.com/jobs/f7ce784d417adb26c82f53e4","canonicalUrl":"https://jobsearcher.com/jobs/f7ce784d417adb26c82f53e4","title":"Senior Full Stack AI Engineer","description":"*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, TypeScript, 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, NoSQL, 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: $150,000.00 - $225,000.00 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","company":"Waterloo Data","rawCompany":"waterloo data","city":"Bee Cave","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-10T04:13:21.376Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Full Stack AI Engineer","description":"*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, TypeScript, 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, NoSQL, 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: $150,000.00 - $225,000.00 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","datePosted":"2026-07-10T04:13:21.376Z","dateModified":"2026-07-10T04:13:21.376Z","hiringOrganization":{"@type":"Organization","name":"Waterloo Data","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bee Cave","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f7ce784d417adb26c82f53e4"},"url":"https://jobsearcher.com/jobs/f7ce784d417adb26c82f53e4"}}