You will get Enterprise AI Agents with MLOps & Automation
Project details
Build production-ready AI agents and multi-agent systems powered by LLMs, RAG, workflow automation, and enterprise-grade MLOps.
I design and develop intelligent AI platforms capable of research, reasoning, planning, document processing, customer support, analytics, knowledge management, and business process automation. Solutions can include supervisor agents, specialized worker agents, tool integrations, vector databases, retrieval pipelines, memory systems, API integrations, and cloud deployment.
What sets this project apart is the combination of AI Engineering, Backend Engineering, DevOps, and MLOps expertise. Every solution is built with scalability, observability, security, and maintainability in mind, ensuring it can operate reliably in production environments.
Deliverables may include multi-agent architectures, RAG systems, vector database integration, API services, workflow orchestration, monitoring, evaluation pipelines, CI/CD automation, deployment infrastructure, and technical documentation.
Ideal for SaaS products, enterprise automation, AI copilots, research assistants, customer support agents, internal knowledge systems, and AI-powered business applications.
I design and develop intelligent AI platforms capable of research, reasoning, planning, document processing, customer support, analytics, knowledge management, and business process automation. Solutions can include supervisor agents, specialized worker agents, tool integrations, vector databases, retrieval pipelines, memory systems, API integrations, and cloud deployment.
What sets this project apart is the combination of AI Engineering, Backend Engineering, DevOps, and MLOps expertise. Every solution is built with scalability, observability, security, and maintainability in mind, ensuring it can operate reliably in production environments.
Deliverables may include multi-agent architectures, RAG systems, vector database integration, API services, workflow orchestration, monitoring, evaluation pipelines, CI/CD automation, deployment infrastructure, and technical documentation.
Ideal for SaaS products, enterprise automation, AI copilots, research assistants, customer support agents, internal knowledge systems, and AI-powered business applications.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, BigDL, Deeplearning4j, Google AutoML, Keras, MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$199
|
Standard
$499
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 24 days |
Number of Revisions | 2 | 4 | 7 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | |
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
E2E Doc
(+ 2 Days)
+$55About Md
Software & AI Engineer | Researcher | MLOps, Agentic & Generative AI
Chattogram, Bangladesh - 1:26 am local time
With 3+ years of experience, I specialize in AI agents, MLOps pipelines, R&D and scalable backend systems. I design end-to-end solutions that handle customer interactions, automate workflows, and integrate seamlessly with your existing tools.
What I can do for you:
Build AI chat agents (support, booking, lead generation)
Integrate LLMs (OpenAI, Claude) into your product
Design microservices architecture with APIs, databases, and message brokers (e.g., NATS)
Develop end-to-end MLOps pipelines (training → deployment → monitoring)
Set up CI/CD, automation, and production infrastructure
AI Research Work is also one of my top interest area (Image Classification, CV, SSL, Wave2Vec, Cyber, Image Processing etc.)
I focus on reliability, scalability, and clean architecture, ensuring your system performs under real usage, not just in demos.
If you're looking for someone who can take your idea from concept to a fully working, production system, I can help deliver it efficiently.
Steps for completing your project
After purchasing the project, send requirements so Md can start the project.
Delivery time starts when Md receives requirements from you.
Md works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirements
Analyze business goals, use cases, agent workflows, data sources, and integrations.
Agent Architecture Design
Design multi-agent orchestration, RAG pipelines, memory systems, tools, and deployment architecture.