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Remote mid-level backend role with popular skills but niche AI+DB requirements yields moderate competition.
Strong database and AI-agent domain requirements limit transferability across industries.
Many mandatory requirements (5+ years, multi-cloud, vector DBs, LangChain, SQL) increase shortlist strictness.
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Own end-to-end development of AI-enhanced application features integrated with relational databases and multi-cloud deployments.
Design and implement secure, scalable API workflows and business logic that enable enterprise AI applications with governance and performance guarantees.
Lead integration with AI agent frameworks and ensure robust deployment, monitoring, and optimization of applications across cloud and on-premises environments.
5+ years professional software development experience with at least 2 years on data-intensive or database-adjacent enterprise applications.
Hands-on experience deploying and managing application services in production across a minimum of two major public clouds (AWS, Azure, GCP).
Strong proficiency in Python and at least one backend language (Go, Java, or C++); deep expertise in relational databases including advanced SQL, query optimization, and security models.
Experience building or integrating vector databases, semantic search, retrieval-augmented generation (RAG), or LLM-based AI agent frameworks (e.g., LangChain).
Senior engineer with demonstrated full ownership from design to production of complex, data-intensive features in enterprise or AI-driven applications.
Experienced operating in autonomous, small teams with high impact and responsibility for production-grade software and direct exposure to product and engineering leadership.
Cross-cloud development skillset combined with deep relational database experience and practical knowledge of AI/ML agent tooling and modern application monitoring.