Tasks:
- * Analyze and design technical solutions
- * Assist junior developers
- * Build and deploy full stack applications
- * Conduct unit testing
- * Design and optimize data structures and queries
- * Develop and maintain enterprise software
- * Develop ETL processes and data warehousing strategies
- * Develop reporting solutions
- * Integrate AI systems and tools
- * Maintain web and client-server applications
- * Monitor and troubleshoot production AI applications
- * Recommend reusable software components
- * Resolve production support issues
- * Set up AI data pipelines
- * Translate business requirements into application systems
Perks/Benefits:
Skills/Tech stack required:
[Agentic AI] [AI-assisted software development] [AI Tool] [AI tool calling] [AML BSA] [AML/BSA regulations] [Application Support] [BSA Regulations] [CDD] [Data Design] [Data Pipelines] [Data Warehousing] [Enterprise Software] [Enterprise Software Development] [ETL] [Financial crime] [Financial crime typologies] [Full Stack] [Full-Stack Development] [KYC] [Metadata Management] [Model Context Protocol] [Model Context Protocol MCP] [Object-Oriented] [Object-oriented design] [OFAC compliance] [Production Application Support] [Programming Languages] [Project Management] [Protocol MCP] [Reporting Solutions] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [SAR requirements] [SDLC] [Software development] [Stack development] [Systems Integration] [Tool-Calling] [Transaction monitoring] [Unit Testing] [Vector Databases]
Educational requirements:
[Bachelor's Degree]
Role(s):
[AI Developer] [AI Engineer] [Application Developer] [Data Engineer] [Developer] [Engineer] [Software Developer]