You will get a custom chatbot assistant that is tailored to your specific needs.
Top Rated
Top Rated
Project details
You will receive a cutting-edge chat assistant designed to elevate your organization to new heights. With over 3 years of experience in freelancing and developing custom assistants and chatbots, I am deeply committed to facilitating the growth of organizations through AI assistants. I prioritize delivering work of the highest quality, ensuring that each project meets rigorous standards. The frameworks I utilize are highly customizable and seamlessly integrable into any platform or service, empowering you to achieve your desired outcomes effortlessly.
AI Development Type
Knowledge RepresentationAI Tools
Amazon SageMakerAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 15 days | 30 days | 35 days |
Number of Revisions | 1 | 3 | 5 |
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.
Fast Delivery
+$300 - $1,100
11 reviews
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AS
Amit S.
Apr 7, 2026
AI Engineering-AI Infinity
Mayowa Solomon is a detail oriented AI architect who has been working with me on several projects, and helped me deliver some outstanding work.
AS
Amit S.
Nov 2, 2025
AI Semantic Search-Based Content Retrieval
Excellent work done by Mayowa!
AS
Amit S.
Jul 17, 2025
AI Based Author Assistant Development
Upwork as such does not have very quality projects. As an agency, I am looking for good projects, but hardly I find any.
AS
Amit S.
Feb 12, 2025
Software Engineer with AI, NLP, LLM skills
Job done nicely and as per my expectations. Your ability to understand the requirements and demonstrate the outcome is highly appreciated. I look forward to your associationwithn other AI projects also.
BS
Brendan S.
Dec 30, 2024
Custom LLM Based Interactive Experience with Personalized Scheduling CRM Integration User Engagement
He went above and beyond, completed it before the deadline and took care of another team members spot after they walked out on the project. Would give 6 stars if I could.
About Adebanjo
AI Agent & LLM Systems Engineer | RAG, LangChain, Production AI Infra.
100%
Job Success
Abuja, Nigeria - 12:50 am local time
Over the last 6+ years I've shipped backend and AI infrastructure for companies across multiple industries. The last few years have been focused entirely on LLM-powered systems: AI agents, RAG pipelines, automation workflows, and the backend logic that connects all of it to real business tools.
What I typically build:
→ Multi-agent systems with LangChain/LangGraph: tool calling, memory, structured outputs, guardrails
→ RAG pipelines with schema-aware retrieval, re-ranking, and evaluation loops
→ LLM integrations (OpenAI, Claude, Gemini) with prompt pipelines, validation, and cost optimization
→ AI-powered automation connecting to CRMs, Slack, Notion, Airtable, Google Drive via APIs and webhooks
→ Production deployment on AWS/Azure with FastAPI, Redis, async Python, and proper auth
I don't just wire up API calls. I build systems that handle edge cases, validate outputs, manage token costs, and stay reliable after handoff. Every project ships with clean documentation.
I run a small AI engineering company (ATOM Group) where this is what we do daily, but I'm hands-on. I write code, review architectures, and own delivery personally on every Upwork engagement.
Top Rated. 100% Job Success. I ship weekly and communicate clearly.
If you need an AI system built properly and deployed to production, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Adebanjo can start the project.
Delivery time starts when Adebanjo receives requirements from you.
Adebanjo works on your project following the steps below.
Revisions may occur after the delivery date.
Conversation Flow Design
Define the structure and sequence of interactions between the chatbot and users. This step involves mapping out various conversation paths to ensure a smooth and intuitive user experience.
Conversational Assistant Development
Build the chatbot based on the designed conversation flows. Develop the backend logic and integrate natural language processing (NLP) capabilities to enable the chatbot to understand and respond to user inputs effectively.