
201 - 500 employees
☁️ SaaS
🤖 Artificial Intelligence
SaaS • Artificial Intelligence • Cloud Computing
CodeNinja Inc. is a technology consulting company offering comprehensive software engineering services. The company specializes in AI-driven software development, cloud computing, and enterprise solutions. CodeNinja provides IT outsourcing, application development, cloud-managed services, and end-to-end digital transformation services to businesses across various industries. They focus on delivering innovative, reliable technology solutions with a client-first approach. CodeNinja supports businesses with staff augmentation and managed IT services, ensuring high performance and scalability in IT infrastructure.
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201 - 500 employees
☁️ SaaS
🤖 Artificial Intelligence
SaaS • Artificial Intelligence • Cloud Computing
CodeNinja Inc. is a technology consulting company offering comprehensive software engineering services. The company specializes in AI-driven software development, cloud computing, and enterprise solutions. CodeNinja provides IT outsourcing, application development, cloud-managed services, and end-to-end digital transformation services to businesses across various industries. They focus on delivering innovative, reliable technology solutions with a client-first approach. CodeNinja supports businesses with staff augmentation and managed IT services, ensuring high performance and scalability in IT infrastructure.
• Design high-level and low-level architectures for banking AI applications • Securely integrate modern AI applications with core banking systems and databases • Evaluate and select optimal LLMs, vector stores, and machine learning platforms • Ensure enterprise-grade high availability, low latency, and system scalability • Embed financial regulatory compliance, risk mitigation, and data privacy into every design decision • Partner with engineering, security, and platform teams through the full delivery lifecycle
• 8+ years in enterprise IT, including 3+ years architecting AI solutions specifically within banking/financial services • Hands-on experience with AI & data platforms: DataRobot, SAS Enterprise Guide, and open-source LLM frameworks • Strong grounding in architecture patterns: microservices, API gateways, event-driven architecture, secure banking cloud landing zones • CI/CD & MLOps proficiency: GitLab CI/CD, Docker, Kubernetes, MLflow, automated model testing frameworks • Advanced Python skills — Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex • Strong communication skills to translate technical architecture into business-relevant terms for stakeholders
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