AI Product Backend / MVP by Sachin RajanAI Product Backend / MVP by Sachin Rajan

AI Product Backend / MVPSachin Rajan

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I build the backend and AI infrastructure needed to turn an AI product idea into a working MVP.

If you already have a concept, specification, prototype, Figma design, or partially built application, I can take it from product requirements to a functioning backend with APIs, persistence, AI integrations, workflows, and production-oriented architecture.

Typical work includes:

• FastAPI backend development • REST API design and implementation • Database and data-model design • LLM and AI API integrations • AI agents and workflow orchestration • RAG and retrieval components • Authentication and application logic • Background and asynchronous processing • Scheduled workflows • Third-party API integrations • Webhooks and external services • State and persistence • Structured outputs and validation • Error handling and retries • Dockerized development environments

What you’ll receive:

• Backend and system architecture • Working application APIs • Database integration • AI / LLM functionality • Core product workflows • External integrations where required • Validation and reliability controls • Testing of key flows • Docker and setup configuration • Technical handoff documentation

I can work from an existing codebase or build the backend foundation from scratch.

My focus is not just getting an AI demo to respond. I build the surrounding system required for the product to maintain state, communicate with other services, recover from failures, validate AI outputs, and continue evolving after the MVP.

Example work