You will get AI Engineer for AI Agent & RAG System Development

Name: You will get AI Engineer for AI Agent & RAG System Development
Availability: InStock

Anastasiia L. Anastasiia L.

5.0

Top Rated

Anastasiia L. Anastasiia L.

5.0

Top Rated

Project details

Machine Learning Tools

Amazon SageMaker, Azure Machine Learning, ChatGPT, deeplearn.js, Google AutoML, Google Sheets, GPT-3, Keras, Microsoft Excel, NumPy, NVIDIA AI Platform, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, TensorFlow, Tesseract OCR

What's included

Service Tiers	Starter $2,500	Standard $5,500	Advanced $10,000
Delivery Time	12 days	25 days	40 days
Number of Revisions	2	3	Unlimited
Model Validation/Testing	-	-	-
Model Documentation	-	-	-
Data Source Connectivity	-	-	-
Source Code

5.0

5 reviews

100% Complete

(5)

1% Complete

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Pose Estimation Engineer for Video Movement Analysis Pipeline Great communication across the team especially project management. Strategic upfront conversation helped enable a strong test product to confirm feasibility of full brand platform.

AI Clipping & Highlights for Baseball/Softball

Data-set annotator

Data Annotations Anastasiia's work as a data annotator was exceptional. Her attention to detail and accuracy significantly improved the quality of our data sets. Her dedication and efficiency in handling large volumes of data were impressive. I highly recommend Anastasiia for her meticulous work and professionalism

Data Labelling Specialist

About Anastasiia

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AI integration | AI agent builder | AI generation

100% Job Success

5.0 (5 reviews)

Kharkiv, Ukraine - 10:52 am local time

𝑴𝒐𝒔𝒕 𝒄𝒐𝒎𝒑𝒂𝒏𝒊𝒆𝒔 𝒅𝒐𝒏'𝒕 𝒉𝒂𝒗𝒆 𝒂𝒏 𝑨𝑰 𝒑𝒓𝒐𝒃𝒍𝒆𝒎. 𝑻𝒉𝒆𝒚 𝒉𝒂𝒗𝒆 𝒂 "𝒏𝒐𝒃𝒐𝒅𝒚 𝒃𝒖𝒊𝒍𝒕 𝒕𝒉𝒆 𝒓𝒊𝒈𝒉𝒕 𝒔𝒚𝒔𝒕𝒆𝒎 𝒚𝒆𝒕" 𝒑𝒓𝒐𝒃𝒍𝒆𝒎. That's what I fix.

As an AI integration specialist, AI agent builder, and AI generation engineer, I help product teams automate complex workflows, cut manual overhead by 30 to 50%, and ship intelligent features in weeks rather than quarters. Over 5 years across healthcare, fintech, ecommerce, and media, I have partnered with 25+ companies to bring AI from concept into production, delivering systems that run reliably and create measurable business outcomes from day one.

My job as an AI integration specialist is to close the gap between "we want to use AI" and "it is
running in production." Good AI integration does not start with picking a model. It starts with
understanding the workflow, the data quality, and what success looks like. I have done enough
AI integration work to know that most projects fail at the requirements stage. Strong AI
integration means asking the uncomfortable questions early. Each AI integration project I deliver
connects cleanly to the existing stack: wiring a Machine Learning model into a React frontend,
building a Node.js API layer between a GPT pipeline and a legacy system, or configuring AI
Model Integration through Zapier and custom webhooks. The AI integration work I value most is
not the most complex. It is the most precise. When AI integration is done right, it creates
leverage that compounds over time.

As an AI agent builder, I build autonomous systems that handle real business tasks without
constant human supervision. An AI agent builder working on customer support automation
thinks about conversation flow, escalation logic, and edge cases the system has never seen. An
AI agent builder building a document processing pipeline thinks about extraction confidence
and what happens when the model is uncertain. I have shipped as an AI agent builder on
platforms handling thousands of daily interactions, using Natural Language Processing, GPT,
Deep Learning, and AI Model Integration to connect intelligent behavior to real business
systems. The best AI agent builder outcomes reduce manual processing time by 60 to 80%.
Strong AI agent builder thinking means designing failure modes as carefully as the happy
path. I have worked as an AI agent builder on email triage systems, lead qualification
pipelines, RAG-based knowledge retrieval agents built on Artificial Neural Network
architectures, AI Bot implementations, and computer vision inspection tools across multiple
industries. An experienced AI agent builder knows that autonomous behavior only creates
value when the system is auditable and maintainable long after the engagement ends.

The AI generation side covers natural language generation, content generation, and creative
automation at scale. As an AI generation specialist, I build systems producing structured, high-
quality output across formats: written content, data summaries, product descriptions, and visual
assets. Good AI generation is not just prompting a model. Strong AI generation requires prompt
engineering, output validation, quality filtering, and human review checkpoints. I deliver AI
generation pipelines in Python, integrated with Node.js, JavaScript, and React, producing
consistent nlg output at volume. Whether a business needs AI generation for content at scale,
automated reporting, or natural language generation summaries from Data Analysis and Data
Science pipelines, the challenge is the same: making AI generation reliable enough to trust in
production. I have shipped AI generation systems for ecommerce, media, and internal
documentation using TensorFlow, PyTorch, LangChain, and Computer Vision layers. The most
mature AI generation work combines content generation with quality gates that catch what the
model gets wrong.

I work as a Python developer, data scientist, full stack developer, web developer, and digital
consultant depending on what the engagement requires. The AI machine learning and GPT work
I do is always grounded in a business outcome, never a technical showcase.

Whether you need an AI integration specialist to connect intelligent features to your stack, an AI agent builder to automate complex workflows end-to-end, or an AI generation engineer to
build content generation and NLG pipelines at scale, I bring technical depth, product judgment,
and direct communication to every engagement.

Steps for completing your project

After purchasing the project, send requirements so Anastasiia can start the project.

Delivery time starts when Anastasiia receives requirements from you.

Anastasiia works on your project following the steps below.

Revisions may occur after the delivery date.

Discovery

Review your use case, data sources, and accuracy or latency requirements to scope the right agent architecture.

Development and QA

Build the retrieval and orchestration pipeline, test against real queries, and tune for grounding and response quality.

Review the work, release payment, and leave feedback to Anastasiia.

Select service tier

Starter$2,500

Standard$5,500

Advanced$10,000

Single-Source RAG Bot

A RAG-based chatbot grounded in one document source or knowledge base.

Delivery Time 12 days
Number of Revisions 2
- Source Code

12 days delivery — Sep 5, 2026

Revisions may occur after this date.

Turn my project purchase into a donation to Anastasiia. No work required.

Support Anastasiia directly by donating the cost of this project. They won't have to deliver any work or incur any fees. See FAQs

We will waive all freelancer service fees for Anastasiia when you purchase this project as a donation or for a project deliverable.

You will get AI Engineer for AI Agent & RAG System Development

Let a pro handle the details

Let a pro handle the details

Project details

Machine Learning Tools

What's included

AR

RZ

MS

JF

MS

About Anastasiia

AI integration | AI agent builder | AI generation

Steps for completing your project

After purchasing the project, send requirements so Anastasiia can start the project.

Anastasiia works on your project following the steps below.

Discovery

Development and QA

Review the work, release payment, and leave feedback to Anastasiia.

Select service tier

Single-Source RAG Bot