Senior Backend Engineer, AI & Data Systems
Bpcs · Redmond, WA
About this role
**About Blueprint** Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology. Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams. At Blueprint, you’ll work alongside talented people with different experiences, expertise, and perspectives—taking on meaningful challenges, expanding your skills, and seeing the impact of what you build. **In This Role** You will design, build, and maintain scalable backend systems and data infrastructure that support AI-powered product innovation. Working alongside engineering, research, design, and product partners, you will develop synthetic data-generation workflows, reliable data pipelines, and large-scale storage and retrieval solutions that enable rapid experimentation and evaluation of intelligent systems. You will take ownership of technical work from design and implementation through testing, deployment, and ongoing support—applying strong software engineering practices, quantitative analysis, and cloud engineering principles to improve system quality, scalability, and reliability. **Responsibilities** - Design, build, and enhance synthetic data-generation systems that transform structured inputs, persona information, and organizational context into coherent, traceable, and reproducible datasets. - Develop, scale, and maintain reliable data pipelines, ETL workflows, and orchestration systems. - Apply concurrency, asynchronous execution, and resilient failure-handling techniques to improve pipeline performance and reliability. - Design and optimize data models, storage architectures, partitioning, indexing, and retrieval patterns to support large data volumes and efficient access. - Build data validation frameworks and automated quality checks to measure data accuracy, consistency, completeness, and fitness for use. - Apply quantitative analysis, data profiling, and performance measurements to investigate system behavior and improve quality, scalability, and reliability. - Integrate and support AI and large language model (LLM) workflows, considering model capabilities, limitations, output quality, and evaluation requirements. - Apply cloud engineering practices to deploy, monitor, operate, and support dependable backend systems while balancing scalability, cost, and operational simplicity. - Assess existing codebases, evaluate technical trade-offs, and translate evolving requirements into maintainable, modular, and well-tested solutions. - Collaborate with engineering, research, design, and product partners to develop practical solutions and communicate progress, technical decisions, and risks. - Maintain clear technical documentation, automated tests, deployment guidance, and operational practices that support long-term system ownership. **Required Qualifications** - 5+ years of software engineering, backend engineering, or data engineering experience (or equivalent significant hands-on experience building and supporting production systems). - Strong backend programming and systems engineering skills, including designin
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