Benefits

Full Job Description

Role Overview Join a small, high-ownership team building next-generation AI capabilities on top of a widely deployed relational database engine. You will design and implement the application layers, business logic, and API workflows that sit at the intersection of data management, AI applications, and relational database operations. What You Will Do You will go from whiteboard to production: owning the implementation of the features you build, writing clean and scalable application code, integrating AI orchestrators, and ensuring robust deployment across cloud and on-premises environments. Why It Might Be a Fit The ideal candidate has worked across multiple cloud providers, has deep experience building with modern AI agent frameworks, and approaches every feature with an ownership mindset — shipping things that work in production, not just in demos. Requirements 7+ years of professional software development experience at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software hands-on production experience deploying, debugging, and managing application services across at least two major public clouds (AWS, Azure, GCP) experience building or integrating with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation (RAG) systems prior work building LLM-based applications or workflows using AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent) strong proficiency in Python for AI application development, alongside high proficiency in at least one backend language (such as Go, Java, or C++) deep, practical application of relational databases: writing complex SQL, structural indexing, query optimization, transactions, and schema design experience implementing temporal data models, event-driven tracking, audit logs, or utilizing system-versioned tables solid understanding of application security fundamentals: authentication, authorization, RBAC, row-level security, and multi-tenant data isolation at the application layer proficiency with modern application monitoring tooling: structured logging, distributed tracing (OpenTelemetry), and functional alerting experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems Benefits competitive compensation package 25 days paid annual leave (plus holidays) massive degree of flexibility and freedom

Skills and Technologies