Experience contributing to or maintaining open-source projects in the database, AI/ML application, or agent-tooling ecosystem
Hands-on experience developing MCP servers or integrating A2A (Agent2Agent) protocols into production systems
Familiarity with agent memory frameworks such as Mem0, Graphiti, or Letta
Experience leveraging graph databases or multi-hop graph traversal (Neo4j, Kuzu, FalkorDB, or similar) within applications
Background with in-memory data grids or semantic caching systems (Redis or similar) to optimize AI token usage
Experience packaging applications for on-premises or air-gapped deployment environments, including regulated infrastructure
Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL
5+ years of professional software development experience, with at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software
Demonstrated end-to-end ownership of a non-trivial production feature or module: you have taken something from functional specification through implementation to production
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