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Sr. Software Database Engineer at Blueprint. Location Information: Redmond, WA; Remote. . Who is Blueprint?. . . We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. . . What does Blueprint do?. . . Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies. . . Why Blueprint?. . . At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. . . We are looking for a . Sr. Software Database Engineer. to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best-in-class service to our customers. . . . . In This Role. . You will contribute to the development of an intelligent research and knowledge reasoning platform powered by state-of-the-art AI and large language models. This role is ideal for someone passionate about transforming how knowledge is extracted, synthesized, and reasoned over at scale. You’ll work on complex backend systems, integrate retrieval-augmented generation (RAG) . pipelines. , and collaborate closely with AI researchers, platform engineers, and product stakeholders to build scalable, secure, and efficient services for advanced data analysis and reasoning tasks.. . 🔹 . Responsibilities. . . . Design and develop core services for a knowledge reasoning platform using modern programming languages and cloud technologies.. . . . Build and optimize pipelines for retrieval-augmented generation (RAG) and large language model (LLM) applications.. . . . Integrate graph databases and NoSQL solutions to support dynamic, queryable knowledge representation.. . . . Implement scalable APIs and backend systems that interface with reasoning agents and AI models.. . . . Collaborate with cross-disciplinary teams to align engineering solutions with research and business goals.. . . . Ensure systems are robust, maintainable, and secure, with attention to performance and scalability.. . . . Contribute to architecture discussions, technical design reviews, and code reviews.. . . . Stay current with developments in LLM frameworks, knowledge graphs, and modern AI infrastructure.. . . . 🔹 . Required Qualifications. . . . 5+ years of experience in software development with strong coding proficiency in at least one of the following: . C++, C#, Java, or Python. .. . . . Experience building cloud-native applications, ideally on . Microsoft Azure. and the . .NET ecosystem. .. . . . Familiarity with . LLM application development. , particularly integrating APIs or building RAG systems.. . . . Solid understanding of . graph databases. (e.g., Neo4j, Amazon Neptune) and . NoSQL technologies. (e.g., Cosmos DB, MongoDB).. . . . Strong understanding of distributed systems, microservices, and containerized deployments (e.g., Docker, Kubernetes).. . . . Excellent problem-solving, debugging, and communication skills.. . . . 🔹 . Preferred Qualifications. . . . Experience implementing . retrieval-augmented generation (RAG). pipelines using vector search and embeddings.. . . . Familiarity with . LangChain. , . Semantic Kernel. , or similar orchestration frameworks for LLM applications.. . . . Prior experience with secure data pipelines or platforms involving sensitive or enterprise research data.. . . . Exposure to AI/ML infrastructure, including model fine-tuning, prompt engineering, or agent-based systems.. . . . Passion for building intelligent, trustworthy, and explainable AI solutions for research and knowledge discovery.. . . . . Salary Range. . . Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $100,000 to $120,000 USD/annually. The . salary. /wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range. . . Equal Opportunity Employer. . . Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law. . . If you need assistance or a reasonable accommodation to complete the application process, please reach out to: . [email protected]. . . Blueprint believes in the importance of a healthy and happy team, which is why our comprehensive benefits package includes: . . . Medical, dental, and vision coverage . . Flexible Spending Account . . 401k program . . Competitive PTO offerings . . Parental Leave . . Opportunities for professional growth and development . . . . .