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Post an AI Automation Specialist job.
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Reach AI automation specialists and agentic AI builders among 3,000+ AI professionals on RemoteAI.

One free job a month with a company account: open 14 days, reviewed first if your website is not verified. No account: $99 per job.

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AI automation specialists on RemoteAI

AI automation specialists among 3,000+ AI professionals. Post a job to reach them.

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Uriel

Uriel

Senior
Toronto, Canada (UTC-5) Full Time, Part Time Rate on request
AI & Machine Learning Engineers NLP & Prompt Engineering
Waleed

Waleed

Senior
Karachi, Pakistan (UTC+5) Full-time, Contract Rate on request
Automation & AI Workflows AI & Machine Learning Engineers
python n8n pytorch Vapi claude +1
Gulshat

Gulshat

Senior
Nicosia, Cyprus (UTC+2) Full-time Rate on request
NLP & Prompt Engineering AI & Machine Learning Engineers
Daniel

Daniel

Senior
Sao Paulo, Brazil (UTC-3) Full-time Rate on request
AI Product & Strategy Automation & AI Workflows

Hiring context

Automation that delivers ROI vs. automation that creates technical debt

The AI automation space has expanded fast — LLM agents, no-code platforms, and open API ecosystems have made automation possible for almost any team. But not all automation engineers deliver the same results. Automation built well comes with error handling, monitoring, documentation, and ROI measurement built in. Automation built by someone who learned Zapier from a tutorial breaks quietly at the first edge case. You won't know the difference until the first production failure — and by then, the cost to fix it often exceeds what the automation saved.

Strong AI automation engineers start by analyzing the process before proposing any solution. They instrument everything they build and measure business impact explicitly — time saved, errors eliminated, cost reduced. They know when n8n is the right tool and when to write Python instead. They know when an LLM agent adds real value and when it adds unnecessary complexity. RemoteAI's automation profiles describe real workflow projects — specific process, tool choices, and measurable outcomes. Those are the signals that separate engineers who build automation that holds up from those who build demos that break in production.

Applications In your dashboard
Talent pool 3,000+
Cost to post 1 free job a month or $99
Placement fee Zero
Post an AI automation specialist job

Why RemoteAI

Built for AI automation hiring.
Not general recruiting.

Generic job boards attract anyone. RemoteAI attracts the specialists who build real AI agents and automation workflows.

AI-only talent pool

Every profile on RemoteAI is an AI specialist. No noise, no irrelevant applications from unrelated fields.

Reviewed new profiles

Every new profile is reviewed by our team. You see real names, real descriptions and the skills each person lists.

Applications in your dashboard

Talents apply on the site. You read each application, message people and keep track of them in your dashboard.

One free job a month

Post one job a month for free. It stays open 14 days and is reviewed first if your company website is not verified. Paid plans cover more jobs.

Global remote talent

Access AI engineers from India, the US, UK, Canada, Germany and many more countries — all remote-ready.

Full hiring workflow

Review applications, message candidates, schedule interviews, and track progress — all in one platform.

Step by step

How to post an AI Automation job on RemoteAI

Say whether you need a workflow builder (n8n, Make, Zapier) or an engineer who builds agent systems in code; they are different profiles with different rates. Add a budget or a pay range.

01

Define the automation target precisely

Which process? Which tools are in scope (n8n, Make, Zapier, custom Python)? Automation engineers need a clear problem — "automate things" attracts generalists who bill hours and deliver little.

02

Describe the existing tool stack

ERP, CRM, data warehouses, APIs. This determines whether you need a low-code specialist or a software engineer who automates with code. Know which gap you are filling.

03

Publish your role

Talents apply on the site and you read applications in your dashboard, with no recruiter involvement.

Hiring guide

What to look for when hiring for AI Automation

Not all candidates are equal. These are the signals that separate engineers who deliver in production from those who only shine in interviews.

Process analysis before automation

The best automation engineers first question whether something should be automated at all. This instinct saves enormous wasted effort and avoids automating broken processes.

AI agent experience

LangChain, AutoGen, CrewAI — this separates modern AI automation from traditional RPA. Ask what agents they have built, what broke, and how they fixed it.

Error handling and observability

Automated pipelines fail silently at the worst moments. Engineers who build monitoring and alerting from day one save enormous headaches.

API and webhook fluency

REST, GraphQL, webhooks — virtually all automation work connects systems via APIs. These are non-negotiable fundamentals, not advanced skills.

Low-code + code pragmatism

The best automation engineers know when Zapier is the right answer and when it is not. Tool judgment based on the problem matters more than tool loyalty.

ROI orientation

They should estimate time saved, cost reduced, and error rate improvement. Automation without measurement is just added system complexity.

FAQ

Questions from companies hiring AI automation specialists

Everything you need to know before posting your first AI job.

Click "Post a job". You can post one job a month for free: it stays open 14 days and is reviewed first if your company website is not verified. Paid plans cover more jobs. Define the automation problem specifically: which process are you automating, which tools are already in your stack (Zapier, n8n, Make, HubSpot, Salesforce), and whether you need a low-code specialist or a software engineer who codes automations in Python. The clearer you are about the actual workflow problem — "automate lead enrichment from LinkedIn into our CRM with qualification scoring using an LLM" versus "automate stuff" — the more relevant your applications will be.

The talent section on this page is pre-filtered for AI automation and workflow specialists. Browse profiles showing their headline, core tools, and background. Click any profile to review the automation systems they have built: which processes were automated, what tools they used, what the before-and-after looked like in terms of time saved or error reduction, and whether they have built AI agent workflows or worked exclusively with no-code platforms. For automation roles, look for profiles that describe measurable outcomes — hours saved per week, error rates reduced, manual steps eliminated — rather than just listing tools. Outcomes signal engineers who actually think about ROI.

n8n, Zapier, Make (formerly Integromat), Pipedream, Activepieces, Python automation (Requests, Selenium, Playwright, BeautifulSoup), API integration (REST, GraphQL, webhooks), CRM automation (HubSpot, Salesforce, Pipedrive), LangChain agents, AutoGen, CrewAI, LangGraph, multi-agent orchestration, RPA tools (UiPath, Automation Anywhere), database automation (PostgreSQL, Airtable, Notion), and AI-powered data extraction and enrichment. Specify whether you need no-code/low-code expertise or code-first automation engineering — these are meaningfully different skill sets that attract different candidate profiles.

Yes, one job a month is free, with no credit card. It stays open 14 days and is reviewed first if your company website is not verified. Paid plans cover more jobs, and you can also post a single job for $99 without an account. There is no placement fee when you hire.

It depends on the role and on how clear the post is, so we do not promise a delay. Posts that describe a specific process problem and name the tools involved attract more relevant applications than vague listings. If you are building agentic AI workflows (LangChain, CrewAI, AutoGen), say so explicitly — this is a distinct specialization that attracts a specific type of engineer who looks for these projects.

Yes. New profiles are checked by our team before they are listed: a real name, a real description of the person's work and, if there is a photo, their own face. Skills are not tested. Strong profiles describe what was automated (process and scale), how it was built (tools and architecture), what monitoring and error handling was put in place, and what the business result was. Your own evaluation should probe for real edge cases handled and ROI actually delivered.

Yes. RemoteAI has AI automation specialists from India, the US, UK, Canada, the Philippines, Brazil, Poland, and many other countries. Automation work is exceptionally well-suited to remote and async collaboration — workflow configuration, API integration, agent development, and documentation are all disciplines that work effectively in distributed team environments. Most experienced automation specialists have worked across multiple timezones and are comfortable with async handoffs and written-first communication. If you have specific sync requirements — for example, daily check-ins during US business hours — specify the overlap window in your post.

Yes. RemoteAI has engineers specializing in agentic AI architectures: LangGraph (stateful multi-agent workflows), CrewAI (role-based agent orchestration), AutoGen (Microsoft's multi-agent framework), OpenAI Assistants with tool use, and custom agent systems built from scratch with LangChain and Python. Agentic AI is a rapidly evolving specialization, so look for engineers with real production experience, not tutorial-level familiarity. When posting for a multi-agent role, describe the agent architecture you are building, the tools the agents need to use, and the reliability and observability requirements. This specificity reliably separates experienced agentic engineers from those who have only experimented with demos.

The clearest signal is whether they start by questioning the process or by immediately proposing a tool. A strong automation engineer will first ask: what is the actual bottleneck, what breaks most often, and should this process be redesigned before being automated? They think about error handling from day one, build observability into every pipeline, and measure ROI explicitly. A weak automation engineer builds a working demo in Zapier with no error handling, no monitoring, and no documentation, then leaves when the first edge case breaks it. During interviews, ask candidates to describe the messiest automation project they have worked on — how they handled failures, what monitoring they put in place, and what they would do differently today.

Free plan: you create a company account and read applications in your RemoteAI dashboard, with messaging and AI matching. One job a month, open 14 days, reviewed first if your website is not verified. The $99 option: no account and no dashboard. Candidates apply to your own email or link, and the listing is reviewed before it goes live.

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One job a month is free (open 14 days, reviewed first if your website is not verified), or $99 for one job without an account. No agency fees, no placement charges.