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You will get LLM API Integration into Your Existing Backend

Rebecca C.Status: Offline
Rebecca C. Rebecca C.
Preview image

Let a pro handle the details

Buy Generative AI services from Rebecca, priced and ready to go.
Rebecca C.Status: Offline
Rebecca C. Rebecca C.
Preview image

Let a pro handle the details

Buy Generative AI services from Rebecca, priced and ready to go.

Project details

LLM API Integration into Your Existing Backend
 • LLM API integration (OpenAI / Anthropic / open-source) into your existing FastAPI or Python backend
 • Pydantic-typed request/response contracts
 • Prompt engineering for your use case
 • Structured output parsing and validation
 • Error handling, retry logic, and rate limit management
 • Unit tests
AI Algorithms
Large Language Model, Transformer Model
AI Applications
AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language Understanding
AI Development Language
Python
AI Models
ChatGPT, GPT-4, LLaMA, OpenAI Codex
What's included
Service Tiers Starter
$395
Standard
$800
Advanced
$1,200
Delivery Time 5 days 10 days 14 days
Number of Revisions
123
AI Model Integration
Batch Normalization
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Database Integration
Detailed Code Comments
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Image Upscaling
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MLOps
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Model Deployment
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Model Documentation
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Model Monitoring
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Model Testing & Optimization
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Model Tuning
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Natural Language Processing
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NLP Tokenization
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Pre-Training
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Prompt Engineering
Setup File
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Source Code
Optional add-ons You can add these on the next page.
Additional Revision
+$150
Rebecca C.Status: Offline

About Rebecca

Rebecca C.Status: Offline
Senior AI Engineer - RAG - LangGraph Orchestration - FastAPI
Sebring, United States - 3:48 pm local time
I build production-grade AI backends — retrieval pipelines, agent orchestration systems, and the platform infrastructure that keeps them reliable.

My stack: Python, FastAPI, RAG with pgvector, stateful multi-step agents in LangGraph, Pydantic-typed APIs, structured logging, and automated evaluation pipelines. I've shipped event-driven pipelines that cut manual report preparation by ~80%, built shared AI platform services used across multiple products, and developed custom MCP server tooling to standardize reusable AI workflows.

What I bring to a project:
— Typed contracts and retry logic from day one, not bolted on later
— Fault isolation and fallback handling designed into the retrieval lifecycle
— Observability hooks so you can actually see what the system is doing
— 12+ years of professional software development across high-security and production environments

I work best on:
— RAG pipeline builds (document retrieval, hybrid semantic/structured search, grounding)
— Agent and orchestration systems (LangGraph, tool-calling workflows, multi-step reasoning)
— AI backend integration (FastAPI services, LLM API wiring, structured output validation)
— Evaluation and observability (automated eval pipelines, telemetry, logging)

Live demo available: Full-stack RAG with document upload, semantic search, and LLM-grounded responses.

If you're building something that uses AI seriously — not just an API call bolted onto a CRUD app — let's talk.

Steps for completing your project

After purchasing the project, send requirements so Rebecca can start the project.

Delivery time starts when Rebecca receives requirements from you.

Rebecca works on your project following the steps below.

Revisions may occur after the delivery date.

LLM API Integration into Your Existing Backend

Review the work, release payment, and leave feedback to Rebecca.