Jobs at CodeNinja Inc.

Design and optimize ETL pipelines and data models, translate legacy SAP BusinessObjects reports into Power BI, build automated executive dashboards, apply banking domain analytics to track metrics and assess risk, and tune performance for large datasets.

Design, develop, and operate AI-powered software systems focused on practical implementation. Build and optimize prompts, create data pipelines, fine-tune/apply RAG, automate LLM workflows/agents, and produce data visualizations from financial datasets for production use.

The OFSAA ERM Technical Consultant will implement and maintain Oracle Financial Services Analytical Applications for Enterprise Risk Management, ensuring compliance with regulatory standards and enhancing application rules.

Lead OFSAA EPM (FTP, Profitability, ALM) initiatives: analyze implementations, optimize configurations, customize rules, manage data loads (T2T, DT), and support financial modeling, profitability analysis, and regulatory compliance.

Design and deliver end-to-end AI architectures for banking: select LLMs and vector stores, integrate with core systems, ensure scalability, availability, security, and regulatory compliance while partnering with engineering, security, and platform teams through deployment.

Build and maintain cross-platform Flutter mobile apps and the supporting backend services. Design APIs, optimize performance across frontend and backend, implement authentication and third-party integrations, and collaborate with product and design in a fast-paced startup to deliver scalable end-to-end features.

Lead API integration and onboarding for FinTech partners. Ensure compliance with Open Banking standards and manage documentation and performance tracking.

The Account Executive will engage with enterprise customers, manage key account relationships, develop business cases, and collaborate with internal teams to deliver AI solutions.

Lead Agile delivery for lending and mortgage programs in banking: facilitate Scrum ceremonies, coach teams, remove impediments, manage integrations, coordinate migrations and UAT, track risks, and report to program leadership to ensure compliant, on-time platform implementations.

Support regional finance across Pakistan, KSA and the US by managing revenue accounting, monthly revenue reporting, intercompany reconciliations, KSA invoicing, US subsidiary tax support, month-/year-end close, audits, and cross-jurisdictional financial coordination.

Manage end-to-end recruitment for IT roles: partner with hiring managers, source candidates via multiple channels, screen and interview, maintain ATS records, coordinate interviews, and ensure a positive candidate experience while building talent pipelines with universities and organizations.

Lead pre-sales solution architecture and Well-Architected reviews, deliver hands-on engineering contributions, define reusable cloud reference architectures and landing zones, mentor cloud engineers, own technical evidence for AI/service delivery designations, and grow the practice into a people-led team.

The Senior AI Engineer will design, develop, and operate AI-powered software systems, focusing on practical implementation and collaboration with various teams to enhance AI usage in software development.

Design, develop, and deploy machine-learning and time-series forecasting solutions. Perform feature engineering, model validation, backtesting, and production monitoring. Build scalable data pipelines, dashboards, and collaborate with stakeholders while mentoring junior team members.

Support and coordinate engineering teams across customer engagements: maintain discipline, drive accountability, manage follow-ups, identify and resolve blockers, handle minor people issues, and promote practical use of Generative AI tools and AI agents to improve productivity and workflows.

Lead design and delivery of production-grade time-series forecasting for financial use cases: architect pipelines, develop and benchmark classical and ML models, implement time-aware validation and Bayesian tuning, perform backtesting, quantify uncertainty, deploy and monitor models with MLOps, build dashboards, and mentor junior engineers while collaborating with finance and risk stakeholders.