04. AI Engineering, APIs & Integrations
AI products require more than an AI model. They need APIs, application logic, databases, integrations, authentication, evaluation, monitoring, and reliable infrastructure around the intelligence layer.
SANRID SYSTEMS provides AI engineering, backend development, API integration, and intelligent software engineering to connect AI capabilities with real business systems.
AI is treated as part of a complete software system.
Build clean interfaces between applications, AI services, and business systems.
Connect the technologies your business already uses.
Build the application logic behind intelligent products.
Connect suitable models and AI services to your applications.
Build mechanisms for testing and controlling AI behavior.
Build APIs that expose AI functionality to web applications, mobile applications, internal systems, or other services.
Integrate appropriate language models into applications and workflows.
Engineer the processing pipeline between user input, data, retrieval, models, business logic, and final output.
Connect applications with relational databases, vector search systems, and other appropriate data stores.
Connect business applications through APIs and integration layers.
Develop application backends, business logic, authentication, APIs, and supporting services.
Create evaluation approaches for measuring AI responses, retrieval quality, system behavior, and important edge cases.
Implement application-level controls designed to reduce unwanted behavior and keep AI functionality within defined boundaries.
Python · FastAPI · Django · Flask · React · Next.js · PostgreSQL · SQLite · REST APIs · OpenAI · Google Gemini · Hugging Face · Embeddings · Vector Search · Docker · Git
Technology choices are made according to the project's requirements rather than forcing every project onto the same stack.
Real-world examples of our capabilities applied to actual business challenges.
Challenge
Connect disjointed SaaS applications to trigger data synchronization without human intervention.
Approach
Built a visually mapped node workflow to catch webhooks, process JSON data, and update databases.
Architecture
N8N self-hosted instance managing robust retry logic and third-party API rate limits.
Stack
Node.js · N8N · Webhooks · REST APIs
Yes. SANRID can engineer backend APIs that connect AI models, business logic, databases, applications, and external services.
Yes. We can integrate supported AI services into existing or newly developed applications.
Yes. Where APIs or supported integration mechanisms are available, systems can be connected through an integration layer.
No. SANRID combines AI engineering with conventional software engineering so that AI functionality can operate as part of a complete application.
Yes. We can help move a prototype toward a more structured application architecture, including backend services, data handling, APIs, evaluation, and deployment requirements.
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