
Senior Developer – AI Platform
Posted Aug 4

Posted Aug 4
This is a fully remote position, open to applicants in India.
• Lead the entire software development lifecycle, encompassing application design, API implementation, deployment, and feature monitoring.
• Integrate production applications with AI agent frameworks like LangChain and interoperability protocols such as MCP and A2A.
• Create secure, versioned application data models that ensure multi-tenant isolation, auditability, and data classification.
• Develop application services that consistently deploy across AWS, Azure, GCP, and on-premises environments utilizing automated CI/CD pipelines.
• Establish and achieve feature-level performance objectives through query optimization, code profiling, caching strategies, and security practices.
• Take ownership of application components, facilitate design and code reviews, mentor team members, and drive decisions in an async-first environment.
• Engage directly with customers and product leadership.
• Create and deliver production-ready AI capabilities built on a relational database engine.
• Over 7 years of professional software development experience, including at least 2 years concentrated on data-intensive applications, database-adjacent features, or enterprise software.
• Full ownership of a significant production feature or module from its specification through to production.
• Hands-on experience in deploying, debugging, and managing application services across at least two major public clouds, including AWS, Azure, or GCP.
• Familiarity with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation systems.
• Experience in building LLM-based applications or workflows using AI agent frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar tools.
• Strong proficiency in Python for AI application development, along with high proficiency in at least one backend language such as Go, Java, or C++.
• Solid practical relational database skills, including expertise in complex SQL, structural indexing, query optimization, transactions, and schema design.
• Experience with temporal data models, event-driven tracking, audit logs, or system-versioned tables.
• Understanding of authentication, authorization, RBAC, row-level security, and multi-tenant data isolation.
• Proficient in structured logging, distributed tracing using OpenTelemetry, and functional alerting.
• Experience in designing and implementing REST and/or gRPC APIs.
• MariaDB does not sponsor work visas or relocation.
• 25 days of paid annual leave in addition to holidays.
• Significant flexibility and freedom in the work environment.
• Highly competitive compensation package.
• Opportunities for learning and professional growth.
• An equal opportunity and inclusive workplace.
• Disability accommodations available during the application and interview process.
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