Hiring : AI Automation Engineer / n8n & AI Agent Developer

[Tomas_Maciulskas]

AI Automation Engineer / n8n & AI Agent Developer

Remote · Project-based cooperation · Freelance / Contractor / Long-term partnership

Synergy Effect is a 20+ year IT company now building a new strategic direction around AI agents, RPA and business process automation.

We work with real business processes: documents, emails, CRM / ERP systems, logistics, customer support, finance operations, internal workflows and other repetitive work that companies still handle manually.

We are looking for a practical AI Automation Engineer who can design and build production-ready automations using n8n, AI models, APIs, browser automation and modern agentic tools.

This is not a role for someone who only connects a few nodes and waits for perfect specifications. We are looking for someone who can understand a messy business process, ask the right questions, design the technical solution, estimate the work, build it, test it and deliver a reliable result.

What you will work on

You will build AI-powered workflow automations and agentic solutions for real business use cases, such as:

• document processing and OCR workflows;

• email and inbox automation;

• CRM / ERP integrations;

• invoice, order, logistics and accounting process automation;

• customer support and internal operations workflows;

• AI agents that classify, extract, validate, route and act on business data;

• browser automation for systems that do not have proper APIs;

• RAG and document search workflows;

• human-in-the-loop processes where AI needs validation or approval before taking action.

You will work with tools such as n8n, JavaScript, Python, REST APIs, OpenAI / Anthropic / Google / Azure models, OCR tools, databases, Google Workspace, Microsoft 365, ERP / CRM systems, Docker, Git and browser automation tools.

We are also interested in people who understand or have experimented with OpenClaw-style AI agents: autonomous or semi-autonomous agents that can work across apps, channels, files, browsers, scripts and tools — not just generate text.

What you will do

• Build production-ready automations and AI agents using n8n.

• Design workflow logic: data flows, branching, retries, fallbacks, error handling and human approval steps.

• Integrate business systems using REST APIs, webhooks, databases and third-party platforms.

• Write custom JavaScript inside n8n nodes for data transformation, validation and workflow logic.

• Use Python when needed for data processing, OCR structuring, RAG logic, scripts or backend automation.

• Work with LLM-based workflows: prompting, structured outputs, function calling, classification, information extraction and validation.

• Build browser automation when APIs are not available, using tools such as Puppeteer, Playwright, Selenium or similar.

• Test automations with real data, identify edge cases and make sure workflows can run reliably in production.

• Prepare estimates, technical tasks, documentation and clear status updates.

• Take ownership from business problem to deployed solution.

Required experience

You should have:

• practical experience with n8n;

• strong practical knowledge of JavaScript;

• good understanding of REST APIs, webhooks, JSON and authentication;

• basic SQL knowledge and understanding of data structures;

• practical understanding of how AI agents and LLM workflows work;

• ability to model business processes and turn them into workflow logic;

• ability to work independently in a remote, asynchronous environment;

• clear written communication and good English;

• ability to estimate work, communicate risks and take responsibility for delivery.

Strong advantages

Experience with any of the following would be a strong plus:

• OpenClaw or similar autonomous AI agent frameworks;

• building agent workflows that can use tools, files, browsers, scripts or external systems;

• creating or using agent skills, plugins or reusable automation modules;

• running AI agents locally or in controlled / sandboxed environments;

• Python for data processing, OCR, RAG or backend automation;

• OCR tools: Google Vision, AWS Textract, Azure Document Intelligence, Tesseract or similar;

• browser automation: Puppeteer, Playwright, Selenium or Apify;

• Google Workspace API or Microsoft 365 / Outlook / SharePoint API;

• ERP, CRM, accounting, logistics or e-commerce system integrations;

• RAG, embeddings, vector databases and document search;

• Docker, Git, cloud infrastructure or self-hosted automation environments;

• AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot or similar;

• production systems, not only demos or proof-of-concepts.

Technologies you may work with

• n8n

• JavaScript

• Python

• SQL

• REST APIs / Webhooks

• OpenAI / Anthropic / Google / Azure AI models

• OpenClaw or similar AI agent frameworks

• OCR tools

• Google Workspace API

• Microsoft 365 / Outlook / SharePoint API

• PostgreSQL / MySQL / BigQuery / Google Sheets

• Git

• Docker

• Puppeteer / Playwright / Selenium / Apify

• CRM / ERP / accounting system APIs

• RAG, embeddings and vector databases

• Claude Code / Cursor / GitHub Copilot or similar tools

Who we are looking for

We are looking for someone who enjoys understanding how businesses actually work.

You should be able to take a real-world process that is unclear, repetitive or messy and turn it into a structured automation that works reliably.

You understand that an AI agent is not just a prompt. It is a combination of process logic, data, integrations, permissions, validations, error handling, memory, monitoring and stable execution.

You are comfortable asking questions, challenging unclear requirements and proposing practical solutions. You do not need every detail handed to you before you can start thinking.

This role is best suited for a mid-to-senior automation specialist who has already built real workflows and can take ownership of delivery.

Who is not a fit

This role is probably not for you if:

• you only connect basic automation nodes without understanding the business process;

• you have only worked with Make, Zapier or Power Automate and have no real n8n experience;

• you wait for fully prepared specifications before doing anything;

• you are interested only in a strictly defined full-time role;

• you build demos but do not think about testing, edge cases, security and production reliability;

• you believe AI will solve everything by itself.

AI does not replace architecture. A model without process logic, data structure and validation is just an expensive guessing machine.

Cooperation model

This is a remote, project-based cooperation opportunity.

At this stage, we are not necessarily looking for a full-time employee. We are looking for a flexible specialist, freelancer or contractor who can take ownership of specific AI automation projects and deliver them end-to-end.

The workload may vary depending on active client projects. If cooperation works well, it may grow into:

• a broader long-term partnership;

• a larger project load;

• a permanent role;

• or eventually an AI Solutions Architect / Lead AI Engineer position.

Compensation will be discussed individually based on experience, project scope and expected workload.

What we offer

• Work on real AI agent and automation projects, not theoretical demos.

• A chance to help build Synergy Effect’s new AI Agents & RPA direction.

• Diverse business cases across logistics, finance, e-commerce, customer support, document management, ERP / CRM automation and internal operations.

• Room to propose solutions, not just execute tasks.

• Remote and flexible project-based cooperation.

• Opportunity to grow into a longer-term partnership or leadership role.

• Practical, business-driven work where automation must create measurable value.

Recruitment process

1. Short introductory call about your experience and motivation.

2. Technical discussion based on a real automation or AI agent scenario.

3. Practical mini-task or solution design exercise.

4. Final discussion about cooperation model, availability and compensation.

How to apply

Send your CV or LinkedIn profile to info@s-e.lt and briefly answer:

1. What n8n, AI agent or RPA solution have you built?

2. Which systems did you integrate?

3. What was the business problem?

4. What solution did you create?

5. What was the result?

6. Have you worked with OpenClaw or similar agent frameworks?

7. What is your availability for project-based remote cooperation?

8. What is your preferred cooperation model and compensation expectation?

If you have a workflow diagram, GitHub repository, demo, case study or technical write-up — please include it.

Important: practical n8n experience is mandatory for this role. Experience with Make, Zapier or Power Automate can be useful, but it does not replace real n8n experience.

[Pathfinder_Automate]

Hello @Tomas_Maciulskas , welcome to n8n community, I have worked and have experience with n8n and l will love to collaborate with you on this you can schedule a call Here and you can checkout my upwork profile Here, for my pastworks and certifications

[moosa]

Hi Tomas, welcome to the n8n Community, I’ve sent you an email with my experience, workflow references, and profiles. I believe my background in n8n, AI automation, OCR systems, and API integrations aligns very well with this role. Looking forward to connecting with you.

[Aryan_Pmedia]

Just sent you an email with all the details and I can get it done for you.
Looking forward to speak soon!

[Mihail_Rogal]

Hi! Replied via gmail

[Hamza426]

Hi Tomas,

I read the post twice. Not for the requirements list — for what’s behind it.

A 20-year IT company building a new AI direction needs one thing above everything else: someone who doesn’t need to be managed. Someone who can walk into a messy, undocumented business process, figure out what actually needs to happen, and deliver something that works in production — not something that works in a demo.

That’s a harder profile to find than the job post makes it sound. Most people applying know n8n. Far fewer can take ownership of the full arc from business problem to deployed solution without constant hand-holding.

Here is where I stand on each of your requirements.

On autonomous agents and real production systems

I run a customized version of OpenClaw — the same framework you referenced in the post. I didn’t just install it. I rebuilt significant portions of it and extended it with 22 custom scripts covering Gmail SMTP/IMAP operations, a Google Maps scraper that generates up to 2,200 qualified leads per run, a headless Playwright browser bot for social media operations with both burner and real browser profiles, a Chrome extension that gives the agent browser visibility, and an autonomous execution loop that runs on cron without requiring a human to press start.

The memory architecture I built uses 11 structured markdown brain files. The agent reads its own state at startup, picks the highest-priority task, executes it, verifies the result against real retrieved data before logging it as complete, and updates its memory before sleeping. It cannot mark a task done based on assumption. That was a deliberate architectural choice — not a default feature of the framework.

The agent has run 150+ cold outreach emails across 5 separate campaigns covering different industries: SMMA leads, Denver roofers, Spokane HVAC, Med-Spa buyers. Lead fetching, email writing, sending, reply monitoring — all without manual execution per email. That is not a demo. It is running on my machine right now.

I also integrated Ollama for local AI inference so the agent can make decisions and write emails entirely on-device when needed, without external API dependency.

On the specific work Synergy Effect needs to do

You listed document processing, email automation, CRM/ERP integrations, invoice and logistics workflows, customer support operations, and browser automation for systems without proper APIs. I want to address these directly.

Document processing and structured data extraction: I work with LLMs for classification, information extraction, and structured output generation — not just text generation. The model is one validation layer in a larger process, not the entire solution.

Email operations: I have built and run SMTP/IMAP pipelines with App password authentication, SSL handling, reply fetching, and bounce monitoring. Not theoretical — these have sent over 150 emails in live campaigns.

Browser automation: The social-bot.py script in my setup uses headless Playwright with session management, profile handling, and a browser gateway that stays stable across restarts. I also built pcctl, a command-line browser controller for agent-directed browsing.

CRM and data routing: I have built lead enrichment pipelines connecting scraping, enrichment logic, qualification scoring, and Airtable CRM writes — with outreach triggers firing automatically when leads cross a confidence threshold.

Human-in-the-loop escalation: Built into the architecture. The agent flags tasks that exceed its confidence boundary rather than guessing and logging a false completion.

On n8n specifically

I have built n8n workflows covering webhook-triggered pipelines with conditional branching, API integrations connecting CRMs and Google Sheets, lead enrichment flows with validation and Airtable writes, and LLM-integrated workflows using structured outputs for classification. I understand error catch nodes, retry logic, fallback paths, and silent failure prevention. I have not shipped a paid client n8n project yet — my production automation work has lived in Python and the OpenClaw stack. I am telling you this directly because you will find out on a technical call anyway, and I would rather you have the accurate picture now.

What I can tell you is that the underlying capability transfers directly. Anyone who has designed an autonomous agent with error handling, memory, validation, and execution verification understands workflow logic at a level that goes deeper than connecting nodes.

On working style

You wrote that you are not looking for someone who waits for fully prepared specifications before doing anything. That matches how I work. I am used to walking into unclear processes, mapping them myself, identifying what is actually the problem versus what the person thinks is the problem, and proposing a structured solution before building anything. I work async, document decisions, communicate blockers early, and do not need daily check-ins to make progress.

Availability and cooperation model

Available immediately for project-based remote cooperation. I can align with EU/UK time zones. I prefer fixed-price agreements on scoped projects — it means I am accountable to delivery, not hours. Rates depend on scope and complexity and I am happy to discuss that on the intro call.

If it would move things forward faster, I am ready for your mini-task or technical scenario exercise now rather than waiting for a call. That is probably the most efficient way for both of us to assess fit.

Hamza
Founder, AXONA

itsameerhamza203@gmail.com

[kevork_lepedjian]

@Tomas_Maciulskas

A

Hi, I’m very interested I’ve been building real n8n + AI agent workflows involving OpenAI integrations, browser automation, APIs, RAG pipelines, CRM/workflow automation, and custom JavaScript logic, and this kind of practical business-focused automation work is exactly what I’m looking for

[soufiane_business]

Hi Tomas,

This is a strong fit for me because the work is not just node wiring. I build n8n and AI automation around real process logic: inputs, validation, routing, retries, human approval, logs, and handoff docs.

Relevant fit:

• n8n workflows with JavaScript Code nodes, APIs, webhooks, databases, Google Sheets, CRM-style flows, and error handling
• OpenAI/Claude workflows with structured output, classification, extraction, and decision steps
• browser automation when an API is missing, using Playwright-style flows where appropriate
• practical production habits: test data first, no silent failures, clear scope, and simple docs

Best first step: give me one messy but valuable process and I will scope it into a paid first milestone. For example: document/OCR intake, inbox triage, CRM routing, invoice/order flow, or browser automation around a system without an API.

I prefer a small paid trial task first so the result is easy to judge. I can start async, ask only the questions needed, and return a working first loop plus test notes.

[Basit_Adefola]

Hi,

I’m interested in the AI Automation Engineer / n8n & AI Agent Developer role.

I build automation workflows using n8n, Make.com, Zapier, and the OpenAI API — including multi-step AI agents, CRM integrations, webhook pipelines, and business process automation. I’m fully remote and available immediately for project-based or long-term collaboration.

Happy to share examples of workflows I’ve built. Looking forward to hearing from you.

Adedoyin Basit Adefola
LinkedIn: linkedin.com/in/adedoyin-adefola-b60a85405

[syed_noor]

Tomas — interested. The “messy process → structured solution” framing in your post is the right filter, and the explicit “not a fit” list is the cleanest screening criteria I’ve seen for this kind of role.

Different agent stack than @Hamza426 (who set a high bar above): I run Claude Code + n8n-mcp as the build loop, which gives the autonomous architecture/iteration velocity you’re describing without OpenClaw specifically. Background is production-systems engineering (multi-process trading infrastructure, deterministic + LLM-bounded designs, audit logs from day one) — applying that discipline to n8n builds the last few weeks.

I’m emailing the full application (answers to your 8 questions) to info@s-e.lt today. Happy to do the practical mini-task as the next step after the intro call.