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Remote role and generalist 'Senior Developer' title increase applicants, but niche AI-database specialization narrows the pool.
Requires deep relational database and AI-agent integration expertise, making candidates industry-specific.
Explicit 7+ years, multi-cloud, vector DB, LLM/agent, and deep relational database expertise required.
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Own end-to-end development of AI-enhanced application features integrating with relational database engine and AI orchestrators.
Design and implement application logic, APIs, and secure data models with focus on performance, multi-tenancy, and governance.
Deploy and maintain scalable services across multiple public clouds (AWS, Azure, GCP) and on-prem environments using automated CI/CD pipelines.
7+ years professional software development experience, with 2+ years on data-intensive or database-adjacent enterprise software.
Hands-on production experience deploying and managing application services on at least two major public clouds (AWS, Azure, GCP).
Proficiency in Python plus at least one backend language (Go, Java, or C++).
Strong relational database skills including complex SQL, query optimization, transactions, schema design, and application-layer data security (RBAC, row-level security, multi-tenancy).
Experienced with AI agent frameworks (e.g., LangChain) and building LLM-based AI applications integrated with databases.
Skilled in designing secure, multi-tenant, versioned data models and API workflows for scalable enterprise AI use cases.
Comfortable working in a small, autonomous, remote-first team owning full feature lifecycle with async communication and direct customer/product interaction.