You will get Production-Grade RAG Pipeline: Enterprise AI Search & Knowledge Engine
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Top Rated
Project details
Stop fighting LLM hallucinations and high token costs. I build custom, high-performance Agentic RAG Systems that allow your AI to "read" private data (PDFs, SQL, Notion) with 99% factual accuracy. This is a production-grade engine—not a basic wrapper.
What You Get:
Custom Data Ingestion: Automated pipelines for S3, Google Drive, and local DBs.
Advanced Vector Search: Lightning-fast mapping using pgvector, Pinecone, or Weaviate.
Accuracy Optimization: Hybrid Search & Re-ranking (Cohere/BGE) for precision.
Semantic Caching: Redis-based layer reducing LLM API costs by 40–60%.
Evaluation Framework: Ragas/DeepEval integration to prove accuracy before launch.
The Architecture:
I use a Modular "Plug-and-Play" Architecture (FastAPI, LangChain/LlamaIndex). Swap your LLM (GPT-4o, Claude, Llama 3) or Cloud Provider (AWS/GCP) seamlessly without a rewrite.
Ideal For:
SaaS Startups: "Ask Me Anything" user features.
Enterprises: Automated internal doc search.
E-commerce: Intelligent recommendation engines.
Ready for a scalable AI foundation? Let's build.
What You Get:
Custom Data Ingestion: Automated pipelines for S3, Google Drive, and local DBs.
Advanced Vector Search: Lightning-fast mapping using pgvector, Pinecone, or Weaviate.
Accuracy Optimization: Hybrid Search & Re-ranking (Cohere/BGE) for precision.
Semantic Caching: Redis-based layer reducing LLM API costs by 40–60%.
Evaluation Framework: Ragas/DeepEval integration to prove accuracy before launch.
The Architecture:
I use a Modular "Plug-and-Play" Architecture (FastAPI, LangChain/LlamaIndex). Swap your LLM (GPT-4o, Claude, Llama 3) or Cloud Provider (AWS/GCP) seamlessly without a rewrite.
Ideal For:
SaaS Startups: "Ask Me Anything" user features.
Enterprises: Automated internal doc search.
E-commerce: Intelligent recommendation engines.
Ready for a scalable AI foundation? Let's build.
Programming Languages
Python, TypeScript, GoCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$3,500
|
Advanced
$6,000
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 25 days |
Number of Revisions | 3 | 9 | Unlimited |
Number of Pages | 1 | 2 | 3 |
Design Customization | - | ||
Content Upload | |||
Responsive Design | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$2,000 - $5,000
Additional Revision
+$100
Design Customization
(+ 4 Days)
+$1,000
Responsive Design
(+ 5 Days)
+$5,000Frequently asked questions
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DP
Dmitrii P.
Apr 1, 2026
Senior Backend Engineer (Python/Go) | AI Integration & AWS Deployment Specialist
Really clear communication and Olimbek was able to dive deep and understand our business needs carefully. After that delivered PRs in really short time. Really big pleasure to work with him.
SD
Shane D.
Feb 4, 2026
Help deploy sites created with Bolt.new for production-ready performance
AL
Alexander L.
Nov 13, 2025
implement futures
HF
Hamza F.
Nov 13, 2025
Backend Python & AWS
AL
Alexander L.
Sep 8, 2025
Telegram Bot for Community — Mandatory T&C Acceptance + Voice‑Only Chat
Thanks for your Job
About Olimbek
Senior AI Infrastructure & Backend Engineer | Golang, Python, AWS
90%
Job Success
Bukhara, Uzbekistan - 2:19 am local time
My expertise directly solves the core challenges of building scalable, observable, and cost-effective agentic systems:
🐹 Core Golang & Platform Engineering
• High-Concurrency Go: Architecture of ultra-low latency backend systems utilizing goroutines, channels, and robust worker pools.
• Solid API Engineering: High-performance microservices, secure auth flows, complex third-party integrations, and rigid error handling.
• Stateful Distributed Systems: Deep experience managing data, state, and caching layers via PostgreSQL, Redis, and DynamoDB.
• Asynchronous Processing: Building event-driven architectures with queues (SQS/SNS), background background jobs, and multi-step transaction retries.
🤖 AI Agentic Workflows & Orchestration
• Stateful Multi-Agent Design: Expert in building reliable routing, fallbacks, and human-in-the-loop validation using custom Go orchestration layers, LangChainGo, or state machines.
• Deterministic Tool Use: Implementing rock-solid function calling and structured JSON outputs to tightly connect LLMs to your core APIs.
• Production Optimization: Extreme fine-tuning of systems for latency, token efficiency, hallucination mitigation, and model selection trade-offs.
☁️ AWS & Bedrock Infrastructure
• Native AWS Bedrock Integration: Highly efficient model invocation, Guardrails, Knowledge Bases, and Agent orchestration utilizing the AWS SDK for Go.
• Cloud-Native Deployments: Designing secure, scalable infrastructure utilizing Lambda, ECS/EKS, S3, API Gateway, and strict IAM policies.
• Production Observability: Implementing deep tracing and logging via CloudWatch to audit agent execution steps, runtimes, and api costs.
🔍 Advanced Retrieval (RAG) & Context Engineering
• Designing context-building pipelines with optimized chunking and semantic embeddings.
• Implementation of hybrid vector search and metadata filtering to ground responses safely in enterprise data.
Whether you need to architect a new multi-step AI workflow from scratch, optimize a slow python/node pipeline for massive speed and lower compute costs, or integrate complex data into a secure AWS Bedrock environment, I deliver clean, tested, and highly maintainable Go code.
Let’s connect to discuss your agentic workflow goals and how we can bring them to production reliably.
Steps for completing your project
After purchasing the project, send requirements so Olimbek can start the project.
Delivery time starts when Olimbek receives requirements from you.
Olimbek works on your project following the steps below.
Revisions may occur after the delivery date.
Get all the needed info and start building