You will get a Custom AI Agent: Automate Multi-Step Workflows with Tools

Project details
You'll get an AI agent that completes real work not a chatbot that just talks. It calls your APIs, queries your data, runs multi-step tasks, and makes decisions, all with guardrails you control.
The hard part of an agent isn't the model it's the orchestration: defining tools cleanly, handling failures, keeping it on task, and adding human approval before anything irreversible happens. That's where I spend the effort, because that's what makes an agent reliable enough to actually deploy.
You'll receive an agent wired to your tools, a clear definition of what it's allowed to do, full step-by-step logging so you can see every action it took, and human-in-the-loop checkpoints on high-stakes steps. I build these to be debuggable when something goes wrong, you can see exactly why.
7+ years building Python and AI systems. Message me with the process you want handled.
The hard part of an agent isn't the model it's the orchestration: defining tools cleanly, handling failures, keeping it on task, and adding human approval before anything irreversible happens. That's where I spend the effort, because that's what makes an agent reliable enough to actually deploy.
You'll receive an agent wired to your tools, a clear definition of what it's allowed to do, full step-by-step logging so you can see every action it took, and human-in-the-loop checkpoints on high-stakes steps. I build these to be debuggable when something goes wrong, you can see exactly why.
7+ years building Python and AI systems. Message me with the process you want handled.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Copy.ai, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, GPT-Neo, LaMDA, LLaMA, Midjourney AI, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,400
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 28 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | |||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | ||
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500 - $1,500
Additional Revision
+$150Frequently asked questions
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SE
Sean E.
Jun 7, 2026
Looking for Senior AI Backend Engineer – Conversational AI Platform
Jazay was great to work with again. He brings a strong mix of technical expertise, adaptability and clear communication, and was a trusted partner throughout the project. He stayed solution oriented from scoping through delivery, took ownership of outcomes, and kept things moving without overcomplicating the process. Would highly recommend reaching out and leaning on him for your project.
SE
Sean E.
Sep 13, 2024
Chatbot Pt 3
Jazay provides a rare combination of expertise, adaptability and quality of work. We built a dynamic LLM chatbot with custom logs, admin panels, prompt inputs - and Jazay was a trusted partner from scoping to go-live. Would highly recommend reaching out and leaning on him for your project!
SE
Sean E.
Jun 15, 2024
Chatbot Pt 2
Jazay provided a rare combination of expertise and high quality execution. He provided detailed, realistic and reasonable scopes of work - and helped build an LLM architecture with multiple complex requirements. Highly recommend choosing Jazay if you’re looking for a trustworthy development partner.
About Jazay
Generative AI Developer | LLM & RAG Systems | Python Backend
100%
Job Success
Peshawar, Pakistan - 6:26 am local time
CORE STRENGTHS
LLM Integration: OpenAI, Claude, Gemini, and open-source models wired into real products, not demos
RAG Systems: retrieval pipelines with vector databases (Qdrant, Pinecone, Weaviate) for accurate document Q&A and semantic search
AI Agents: autonomous systems with multi-step reasoning, tool calling, and API execution
Production Deployment: AWS, Docker, and CI/CD for reliable, maintainable systems
Business focus: every build ties to a measurable outcome — lower response times, reduced manual work, faster retrieval
ABOUT ME
I'm a backend and AI engineer with 7+ years of professional experience building systems that solve real business problems. My work spans large language models, RAG, and full-stack Python development. At TalentPop I led AI initiatives across property tech and customer-service automation, shipping production systems used daily by real teams. My approach pairs solid engineering with business sense I want to understand the outcome you're after before I write a line of code.
SERVICES I DELIVER
LLM Integration & RAG Systems: Retrieval-Augmented Generation pipelines combining vector databases with language models for accurate document Q&A, knowledge retrieval, and context-aware responses.
Custom AI Agent Development: Autonomous systems capable of multi-step reasoning, API integration, and real-time decision execution. Ideal for lead qualification, support automation, and workflow orchestration.
Production Chatbot Development: Multi-channel conversational AI (web, WhatsApp, Telegram) with NLP understanding, sentiment analysis, and intelligent responses for customer engagement.
End-to-End ML Solutions: Predictive models and computer vision systems deployed with monitoring and retraining pipelines for continuous improvement.
PROBLEMS I SOLVE
Manual, repetitive support work → AI systems that handle routine conversations automatically and free up your team
Unstructured data nobody can search → RAG systems enabling fast semantic search across large document sets
Workflows that need constant manual oversight → AI agents that execute multi-step processes reliably
Raw data sitting unused → ML models that turn it into usable predictions and insight
TECH STACK
Languages: Python, TypeScript, JavaScript, Node.js
Web: FastAPI, Flask, Django, Nest.js
AI/ML: LangChain, Hugging Face, TensorFlow, PyTorch, Scikit-Learn
LLMs: OpenAI, Anthropic Claude, Google Gemini, RASA
Vector DBs: Qdrant, Pinecone, Weaviate
Data: PostgreSQL, MongoDB, Redis, Apache Kafka
Cloud/DevOps: AWS, GCP, Docker, Kubernetes, Terraform, GitHub Actions
Let's talk about what you're trying to build.
Steps for completing your project
After purchasing the project, send requirements so Jazay can start the project.
Delivery time starts when Jazay receives requirements from you.
Jazay works on your project following the steps below.
Revisions may occur after the delivery date.
Map the workflow & guardrails
We confirm the process, the tools involved, and exactly which actions are automatic vs. require your approval.
Define tools & wire up the agent
I build clean tool definitions, connect your APIs and systems, and set up the agent's reasoning with error handling.