Blueprint is looking to solve the business and technical problem of revolutionizing and democratizing data analysis and research insight by transforming complex, time-consuming text reasoning tasks into efficient and trustable processes using a transformative research knowledge reasoning platform.
Requirements
- Minimum 2+ years experience with coding in languages including Python, C, or TypeScript with large systems software development and support experience, ideally in Azure
- Minimum 1+ years experience building and deploying LLM application development or RAG (retrieval augmented generation) systems
- Expertise in designing and implementing LLM Evals with experience in graph databases and NoSQL systems
- Experience deploying, handling, and scaling infrastructure on cloud platforms
Responsibilities
- Collaborate closely with PMs, researchers, architects, and technical leads to understand and refine user requirements for AI systems and research knowledge reasoning while incorporating customer feedback into future designs
- Develop, optimize, and review code to ensure extensibility, maintainability, and adherence to best practices for large-scale AI platform development
- Build and deploy large-scale indexes powered by NoSQL, Graph, and ML Vector databases to store and track both human authored and LLM generated research insights
- Integrate telemetry data collection to monitor AI behavior, performance, and reliability while using this data to refine product design and improve engineering decisions
Other
- Bachelor's Degree in Computer Science or related technical discipline with 2-4+ years overall technical engineering experience
- cross-disciplinary team collaboration experience
- Remote, preferably in the Greater Seattle, WA area.
