You will get LLM App Development with Python & FastAPI
Top Rated
Project details
You get a custom LLM application built with a clean backend, AI logic, API Integration, and a production-ready structure. I can build AI tools, internal dashboards, chat interfaces, document tools, workflow apps, or AI features inside your existing product using Python, FastAPI, OpenAI, Claude, LangChain, databases, and cloud deployment.
AI Algorithms
AlexNet, Convolutional Neural Network, Deep Belief Network, Feedforward Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, StyleGAN, YOLOAI Applications
AI Content Creation, AI Mobile App Development, AI Text-to-Speech, AI-Enhanced Classification, AIOps, Conversational AI, Image Processing, Image Recognition, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Style TransferAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
ChatGPTWhat's included $5,000
These options are included with the project scope.
$5,000
- Delivery Time 5 days
Frequently asked questions
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DS
David S.
Jul 24, 2026
Multi-agent platform
Ignas was a pleasure to work with. He quickly got to the important questions, and always provided advice with good logic. We look forward to working with him again.
KG
Kelley G.
Jul 17, 2026
Indoor Wayfinding Web App — Interactive Building Map with Room-to-Room Navigation
PN
Philip N.
May 8, 2026
30 minute consultation
HF
Hila F.
May 1, 2026
AI Automation Engineer Needed for Claude Code Integration
Thank you, Ignas!
GH
Gabriella H.
Nov 17, 2025
API Service with FastAPI
About Ignas
AI Agent Development Expert | RAG, Python, LangChain, LLM AI Engineer
100%
Job Success
Rio de Janeiro, Brazil - 9:36 pm local time
I help companies design, build, and deploy AI Agent Development, RAG pipelines, LLM apps, AI automation systems, internal AI tools, and production-ready AI software using Python, LangGraph, LangChain, LlamaIndex, FastAPI, Rust, TypeScript, OpenAI, Claude, Gemini, vector databases, and cloud infrastructure.
What I do best:
1. AI Agent Development
2. RAG pipelines and retrieval systems
3. LLM app development
4. AI internal tools
5. AI document processing
6. Knowledge base and chatbot systems
7. API development and AI integrations
8. Vector database setup and optimization
9. AI workflow automation
10. AI audits, scoping, and technical planning
My strongest work is around AI agents and RAG.
For AI agents, I build systems that can reason, use tools, call APIs, work with memory, and complete multi-step tasks without needing constant human input.
For RAG, I build retrieval systems that go beyond basic vector search. This includes document ingestion, hybrid search, reranking, embeddings, layout-aware parsing, evaluation, and grounded answers from your own company data.
I am an expert at:
Python, Rust, TypeScript, FastAPI, React, Next.js, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI, Claude, Gemini, Hugging Face, Milvus, Pinecone, PGVector, Chroma, Weaviate, PostgreSQL, Docker, Azure, AWS, RunPod, Vast AI, Linux, N8N, and CI/CD pipelines.
The clients I work best with are B2B companies, enterprise teams, software companies, AI startups, and businesses with complex documents, workflows, internal data, tickets, knowledge bases, or operations that need to become easier to search, automate, and manage.
If you need AI Agent Development, RAG, LLM app development, Python backend engineering, or production AI infrastructure, send me a message.
I wanna hear your idea now, how can I help?
Steps for completing your project
After purchasing the project, send requirements so Ignas can start the project.
Delivery time starts when Ignas receives requirements from you.
Ignas works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & App Scoping
We start with a short call to understand your product, users, and what the AI feature needs to do. I map out the architecture, integrations, and success metrics, then send a written scope before any build starts.
Backend Build and AI Integration
I build the app based on the agreed scope: FastAPI backend, LLM workflows, API routes, database logic, and deployment setup. You get progress updates and a working version to test on real use cases before we finalize anything.