AI Automation Engineer

Budget: 2000 UAH Deadline: 7 days

Hello!

I can help build an AI system for active B2B lead generation and personalized outreach, not as a regular chatbot, but as a step-by-step automation platform: lead search → company analysis → generation of personalized messages → follow-up logic → transfer to CRM.

I have practical experience with Python, API integrations, AI/LLM automation, OpenAI/Claude, web data processing, Linux/Docker, and building production-oriented AI pipelines. I have also worked with AI systems where stability, quality control, model integration, and reliable data flow are crucial.

Here’s how I envision the implementation:

1. Lead collection
Parsing/collecting companies and contacts from available sources, data normalization, deduplication, domain verification, saving to a database or CRM.

2. AI analysis
Claude/OpenAI analyzes the company’s website, niche, services, potential pain points, and generates a brief lead profile.

3. Personalized outreach
Generation of personalized email/LinkedIn messages tailored to a specific company, without template spam. Human approval can be added before sending.

4. Follow-up sequences
Safe multi-step sequences with limits, pauses, statuses, stop conditions after responses, and logic to “not duplicate contact.” I do not propose bypassing platform rules, but a proper architecture with frequency control to reduce the risk of blocks.

5. CRM integration
Transferring leads to CRM, tags, statuses, contact history, lead source, result of AI analysis, and text of the generated message.

I suggest starting with the first stage: lead collection/processing module + AI analysis of the website + generation of a personalized first message. After testing on real leads, we can add follow-up sequences, CRM integration, and automatic analytics as separate milestones.

Estimated time for the first stage: 7 days.
Cost of the first stage: 10,000 UAH.

After the first module, we can accurately assess the complete system by stages. Expand

Budget: 12000 UAH Deadline: 7 days

A budget of 1000 UAH for such a system will likely not even cover proper design. I would suggest proceeding in stages - first a prototype and architecture, then separate modules for search, analysis, mailing, and CRM.

We can start with the first stage for 12,000 UAH and 7 days - we will assemble a working scheme, check lead sources, LinkedIn and Email limitations, prepare a safe touchpoints scenario, and a minimal prototype. After that, each module can be closed with separate payments, as you suggest.

Look, there’s a nuance here - protection against bans is not achieved with a single setting. Limits, warming up, queues, message rotation, domain control, event logs, and a clear stopping logic are needed. Otherwise, automation starts saving time so vigorously that later you have to save accounts =/

> Please clarify which CRM is already being used - Bitrix24, HubSpot, Pipedrive, amoCRM, or your own system
> What lead sources are planned - LinkedIn, company websites, directories, purchased databases, open registries

Relevant examples from Ingello
> https://business.ingello.com/vorfahr - AI and automation for business processes, similar in logic to data analysis and decision-making
> https://business.ingello.com/fractal - agency architecture and automation of complex processes
> https://business.ingello.com/forma-crm - CRM and management logic with roles, statuses, and data transfer

The main page for system development for FLH - https://systems-fl.ingello.com

!!Overall, it’s fine to start not with a large budget, but with a pilot!! This reduces risk and quickly shows which sources actually generate leads, and where it looks good only on paper. Money loves counting - this is especially relevant here. Expand

Budget: 5000 UAH Deadline: 7 days

Good day, Oleksandra!

I understood the task, this is not a chatbot, but an active search system plus smart B2B outreach: parsing contacts from blind databases, analyzing the lead's website through Claude/OpenAI, hyper-personalized emails, secure multi-step chains (LinkedIn plus Email) with protection against bans, tagging in CRM. Payment by modules.

Honestly: this is exactly what I have already assembled and keep in production, an outreach system (contact parser, AI personalization of emails, anti-ban warming/cooldown, lead transfer and tagging). So, I am not starting from scratch theoretically, but adapting a working architecture to your B2B.

Here’s how I will break it down into modules (you pay for each implemented one):
1. Parser-collector: contacts from your sources, normalization, deduplication.
2. AI personalization: Claude analyzes the lead's website and writes an individual email (not a template) tailored to your offer.
3. Anti-ban funnel: multi-step follow-ups in Email/LinkedIn with limits, warming, pauses, so that accounts do not get banned.
4. CRM integration: dynamic transfer and tagging of leads by status.

Each module through Safe, you see the working result before payment, zero risk (important at the start of cooperation).

Clarification for Stage 1: which module do we start with, contact parser or AI email personalization? And what CRM do you have (for module 4)?

Stage 1, one working module: 5000 UAH, 7 days. The exact volume will be fixed based on the chosen module. Examples of work: Freelancehunt https://guardlabs.online Expand

Budget: 20000 UAH Deadline: 5 days

Good afternoon.

Please send the technical specifications for review!
Further details will follow.

Budget: 2500 UAH Deadline: 4 days

Hello, Oleksandr.

I understood the task — not a chatbot, but a B2B pipeline:
parsing → AI analysis of the lead's website → hyper-personalized
email → follow-up chain → CRM.

I have a live project with a similar architecture — research-agent
on LangGraph with tool use, the agent autonomously collects data and
analyzes: huggingface.co/spaces/BlankD1/research-agent
This very approach forms the basis of your system.

Regarding the modules:
1. Contact parser — collection + normalization from "blind" databases
2. AI analysis of websites — Claude reads the lead's website, extracts
context for personalization
3. Email generator — hyper-personalized emails via
Claude Anthropic API (not templates)
4. Follow-up chains — multi-step chains with cooldown,
protection against bans
5. CRM integration — automatic transfer + tagging of leads

Stack: Python + LangGraph + Claude API + Playwright.

We start with the first module — I will show the result, then
step-by-step payment as you described. Expand

Budget: 10000 UAH Deadline: 7 days

Good day!

Your project describes the modern AI outbound process well: from collecting contacts to personalized outreach and automatic lead management in CRM. This is exactly the kind of systems I build.

I can implement for you:

* automatic collection and processing of potential client data;
* AI analysis of company websites through OpenAI/Claude for generating hyper-personalized emails;
* multi-step Email and LinkedIn follow-up scenarios with automatic transition conditions;
* integration of the entire funnel with HubSpot, Pipedrive, or Zoho CRM with tagging, scoring, and lead transfer;
* automation of all processes through Make.com and API, so the system operates almost without manual intervention.

In one of my projects, I created an AI marketing system that combined CRM, AI consultant, email automation, and Make.com into a single process. In another, I built an automated CRM infrastructure with end-to-end analytics, reducing the response time to a new lead from 18 hours to less than 1 hour.

Step-by-step implementation with payment for each completed module fully aligns with my approach to work.

Please let me know if you have already decided on the CRM and the tool for email distribution, or if they also need to be selected as part of the project? Expand

Budget: 1000 UAH Deadline: 1 day

Hello, Sasha.

Ready to complete step by step for a small budget, waiting for you in private messages.

Budget: 25000 UAH Deadline: 7 days

We already have a practically ready similar solution for AI-based B2B lead search and smart outreach, we can quickly adapt it and discuss the details here on the marketplace, I am available ))
1000 UAH is only suitable for a short idea check, I would estimate a working implemented module for the first stage at 25,000 UAH and approximately from 7 days.
We can go step by step - first collecting and scoring leads, then analyzing websites through Claude or OpenAI, then emails, touchpoint chains, and transferring to CRM.
Look, there’s a nuance here - LinkedIn and email need to be built through limits, warming up, segmentation, unsubscribing, and action logs, otherwise the risks of blocks will be higher than the results.
For access, we will need CRM, domain or email service, rules for data source bases, and examples of your best clients.
An important question - which CRM is already in use and which fields for leads should be filled automatically?
Another question - are there already sources of contacts or do we need to find legal sources and a data enrichment scheme?
Similar cases for AI automation - https://business.ingello.com/fractal - agency scenarios and action chains.
Another close one - https://business.ingello.com/vorfahr - process automation and logic for B2B.
The main profile for FLH - https://systems-fl.ingello.com

Budget: 1000 UAH Deadline: 1 day

Good day, Oleksandr.

In brief:

Your active client search system will automatically collect contacts from any "blind" databases by name, using headless browsers and proxy rotation to bypass protection. Claude or OpenAI will analyze potential clients' websites and generate hyper-personalized emails that will increase conversion. Multi-step chains on LinkedIn and Email will operate with ban protection thanks to anti-detect methods and smart delays. All leads will automatically enter your CRM with the necessary tags without manual transfer. Each module will be implemented in stages with payment for results — you will receive a ready tool, not a prototype.

In detail:

Parsing "blind" databases by company name is best done through a headless browser with proxy rotation and anti-detect profiles — regular HTTP clients are quickly blocked, and your flow of contacts is interrupted. Your system will collect contacts steadily, with retry logic and geo-filtering, without manual intervention.

For hyper-personalization, Claude or OpenAI will analyze each potential client's website through a RAG pipeline — the email is generated based on the actual business context, not template inserts. Conversion increases when the email corresponds to a specific product or client case. Multi-step follow-up chains on LinkedIn and Email will work with smart delays, daily limits, and emulation of human behavior — this minimizes the risk of bans on both platforms.

All leads will automatically enter your CRM with dynamic tagging by source, funnel stage, and response status. In a previous project with AI integration and CRM transfer (Go, OpenAI, PostgreSQL), a similar pipeline processed data in real-time through message queues — this ensured that no lead was lost during peak loads.

Each module — parsing, AI generation, follow-up chains, CRM integration — is implemented separately, with payment for results. Ready to discuss details and prioritization of modules.

Also, later A/B testing of different AI prompts for email generation can be implemented. This will allow for automatic identification of the most effective formulations and adaptation of the communication tone for each B2B market segment, significantly increasing the response rate.

Or implement integration with a Telegram bot for instant notifications. This will ensure a quick response to positive client replies, which is critically important for closing deals in the B2B segment. Expand

Budget: 1000 UAH Deadline: 3 days

Hello, Oleksandr!

I understand the task - not a simple chatbot, but a full-fledged active B2B outreach system. I have experience with n8n, Claude/OpenAI API, and lead generation automation.

My approach by modules:
1. Contact parsing - gathering companies from "blind" databases, searching for domains via API, extracting decision-makers.
2. AI personalization - Claude analyzes the client's website, generates a unique first paragraph with a real case from the company.
3. Follow-up chains - email sequences with protection against bans.
4. CRM integration - automatic transfer and tagging of leads.

I am ready to work step by step with payment for each implemented module, as you indicated. Expand

Budget: 6000 UAH Deadline: 5 days

Hello.

We can help with such a system. It’s important not just to "attach OpenAI to the mailing list," but to properly assemble the entire process: searching for companies → enriching contacts → analyzing the website → personalized email → follow-up control → transferring the lead to CRM.

I would suggest going step by step, as you described:

1. **Data Collection and Enrichment Module**
We take company names or a "blind" database, search for the website/domain, check basic relevance, and prepare the lead structure.

2. **AI Company Analysis**
The system analyzes the potential client's website: what they do, what products/services they offer, and what triggers exist for personalized outreach.

3. **Generation of Personalized Emails**
OpenAI/Claude generates not a template "with the name substituted," but a short email with a real connection to the company. Plus, we can implement quality control to avoid sending weak or strange texts automatically.

4. **Follow-up Logic**
For Email, we can create safe touchpoint chains with pauses, statuses, limitations, and CRM logic.
Regarding LinkedIn, I would note that it needs to be approached very carefully, as aggressive automation can lead to account restrictions. I would initially establish a safe logic, limits, and a semi-automatic mode, rather than a "mass mailing in the face."

5. **CRM Integration**
Transferring leads to CRM with statuses, tags, source, funnel stage, and further actions.

Regarding the budget: I won't set it at 1000 UAH, as that would be an unfair estimate for such a system. Realistically, I suggest starting with the first MVP stage within 15,000 UAH: collection/structuring of the database → AI analysis of the website → generation of personalized email → transferring the lead to CRM or a spreadsheet.

After that, we can separately evaluate the next modules: follow-up chains, LinkedIn part, extended CRM logic, and scaling.

We work with Telegram/CRM/API/AI automations, so we can build not just a separate script, but a proper system that can then be expanded with modules.

We are ready to discuss what CRM you have, what sources the database will come from, what volume of leads per day, and which channel is the first priority: Email or LinkedIn. Expand

Budget: 1000 UAH Deadline: 3 days

Good day, Oleksandra! I am ready to help you with the implementation of this system and to understand each module. I have extensive experience in automation, parsing, and working with neural networks, so I will execute everything qualitatively and clearly according to your tasks.

Write to me in private messages. We will discuss the details, choose the most effective option, and get started.

Budget: 1000 UAH Deadline: 5 days

Hello! I can fulfill your order as I specialize in building autonomous AI agents, intelligent parsing systems, and B2B outreach automation (LinkedIn/Email) using LLM (Claude/OpenAI) and orchestration tools like n8n/hermes.

Architectural approach to module implementation
Data collection (Blind parsing):
We implement a custom parser in Python or n8n. The system takes the company name, finds the website domain through an API (Google Search / Hunter.io / Apollo.io), and then uses the AI agent to extract contacts of decision-makers (LPR: CEO, CMO, Sales Director) from "warmed-up" databases.
Smart mailing (Hyper-personalization through Claude/OpenAI):
Instead of template emails, the AI agent visits the potential client's website, reads the main points, analyzes their product and pain points.
Based on this analysis, Claude 3.5 Sonnet (which writes the best cold B2B emails without AI jargon) forms a unique first paragraph: mentioning a real case of the company and offering a targeted solution.
Touchpoint funnels and ban protection (LinkedIn & Email):
Email: Setting up custom software (e.g., Instantly.ai / Lemlist or a custom script) with a mandatory random sending interval, spin-tax (word variability), and prior warming of domains (Spam-protection).
LinkedIn: Integration with sessions through anti-detect browsers or reliable APIs (like limited actions through native LinkedIn limits — no more than 20-30 invites per day) with human-like behavior simulation (human-like delays).
Integration with CRM:
Automatic tracking of responses. If the client responds "Interesting" -> the AI agent classifies the intent, automatically creates a lead in the CRM, assigns a tag (e.g., Hot_Lead_AI), and attaches the analysis history of their website for your sales manager.
My GitHub: https://github.com/onyx144 Expand

Budget: 1000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Please write to me in private messages to discuss the details. I would be happy to help :)