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I will build rag and llm integrations with python fastapi
Abdul Wajid
About this gig
Need to add practical AI capabilities to an existing product or backend?
I build Python/FastAPI integrations around LLM APIs, retrieval-augmented generation, embeddings, structured outputs, validation, retries, and provider abstraction.
I can help with:
- LLM API integrations
- RAG question-answering workflows
- Document chunking and retrieval
- Embeddings and contextual search
- Structured JSON outputs
- Pydantic validation
- Provider abstraction
- Retry and error handling
- Logging and API integration
My focus is application engineering around AI systems, not model training or research.
This Gig is best for clearly scoped AI backend features. For a complete AI SaaS product, very large document collection, or complex multi-provider workflow, please contact me first so we can define the scope correctly.
Get to know Abdul Wajid
Abdul Wajid
Backend Engineer, Python, FastAPI, Laravel and Magento
- FromPakistan
- Member sinceSep 2023
- Avg. response time1 hour
Languages
Urdu, English
Backend software engineer with 5+ years of production experience building APIs, integrations, SaaS workflows, and eCommerce systems.
I work with Python/FastAPI, Laravel/PHP, Magento 2/Adobe Commerce, PostgreSQL/MySQL, Redis, Docker, AWS/Azure, and practical AI integrations including RAG and structured LLM workflows.
I can help with backend feature development, third-party API integrations, debugging, upgrades, performance issues, and reliable AI-powered features.
I focus on clear scope, maintainable code, dependable delivery, and straightforward communication.
My Portfolio
FAQ
Do you train or fine-tune AI models?
No. My focus is application engineering around existing LLM providers, APIs, RAG, retrieval, structured outputs, and backend integration.
Can you build a RAG system using my documents?
Yes, for a clearly defined document set and use case. Please provide the document types, approximate volume, and expected question-answering workflow before ordering.
Can you work with different LLM providers?
Yes. I can work with supported LLM APIs and can add provider abstraction when the project requires more than one provider.
Will the AI output always be correct?
No LLM can guarantee perfect output. I design for better reliability using grounding, validation, structured outputs, retries, and explicit error handling.
Can this be added to my existing application?
Yes. I can integrate the AI workflow into an existing backend when the current architecture and integration points are provided.
Do you provide deployment?
Yes, deployment can be included as an extra or custom offer after reviewing the target environment.
