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Remote role, mid-level seniority and broad AI+DB skillset create high candidate competition.
Requires specialized AI agent and database-adjacent expertise, limiting cross-industry transferability.
Explicit 5+ years plus mandatory AI, DB, cloud, and language skills imply strict shortlisting filters.
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Lead end-to-end development of AI application features integrating with relational database engines, covering design, implementation, deployment, and monitoring.
Integrate AI agent frameworks and interoperability protocols to build scalable, multi-cloud application services for enterprise AI use cases.
Own application security, performance optimization, and multi-tenant data management aligning with enterprise governance and deployment requirements.
5+ years professional software development experience; at least 2 years in data-intensive or database-adjacent enterprise applications.
Proven end-to-end ownership of production features from specification to deployment.
Hands-on production experience deploying and managing applications on at least two public clouds (AWS, Azure, GCP).
Strong proficiency in Python plus one backend language (Go, Java, or C++), plus deep practical experience with relational databases and SQL.
Experienced in building or integrating with AI agent frameworks and vector databases or semantic search systems in production.
Comfortable managing multi-cloud deployments and maintaining application security with multi-tenant isolation and auditability.
Able to work in a small, highly autonomous, and async-first engineering team with direct influence on product strategy and customer interaction.