AI Automation & Agent Engineer

Rankpage SEO; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

Rankpage Sdn Bhd in Malaysia is seeking an AI Automation & Agent Engineer to turn business problems into working software, building LLM-powered agents and production systems that run autonomously.

You will design prompts, integrate APIs, automate SEO workflows, and develop back-end services, while collaborating with non-technical teams and staying aligned with client needs. If you enjoy hands-on AI tooling and meaningful impact on rankings, join our growing team.

Qualifications

• Background in Software Engineering, Computer Science, IT, Data Science or equivalent hands-on ability — what you have built matters more to us than where you studied
• Hands‑on experience building with LLM APIs: prompt engineering, tool and function‑calling, RAG, or agent frameworks
• Strong Python, and confident working with APIs to build and ship integrations end to end
• Working backend ability — a backend framework, SQL, Git and basic deployment; comfortable moving through a codebase you did not write
• Practical experience integrating third‑party APIs, and with at least one CMS or platform API (WordPress preferred)
• A track record of shipping — production work, client work, hackathon wins or personal builds. Please share GitHub, live demos or write-ups
• AI‑native: fluent with modern AI tooling and fast at turning an idea into something that runs
• Genuinely current — you can tell us what changed in AI or search in the last month, and why it matters
• Bias for action, comfort with ambiguity, and clear communication with non‑technical colleagues

Responsibilities

• Build and own production AI agents — design the prompts, the tools and functions they call, and the conversation or workflow logic behind them
• Turn business problems into agentic workflows — break a task down, connect the APIs, tools and knowledge sources it needs, and orchestrate multi-step agents that complete real work
• Automate the SEO and marketing workflow — keyword and competitor research, content briefing, on-page auditing, internal linking, publishing and client reporting
• Integrate LLM APIs such as OpenAI, Anthropic Claude, Gemini, and similar platforms into real operational workflows
• Build and maintain integrations across the marketing stack — Google Search Console, GA4, Google Ads, Ahrefs and similar SEO APIs, WordPress and other CMS platforms, Shopify, Slack, Google Sheets and internal tools
• Develop APIs, webhooks and backend services to connect systems that were never designed to talk to each other, handling rate limits, authentication, retries and messy data
• Support day-to-day backend work on our in-house platform — API endpoints, database queries, background jobs, scheduled tasks, logging and monitoring
• Use agentic coding tools such as Claude Code, Codex, and similar AI-assisted development tools to ship faster
• Measure and improve quality — run prompt experiments, build evals, and ship improvements based on evidence rather than assumption
• Monitor live systems — debug failures, strengthen guardrails, and keep reliability rising as usage grows
• Work with non-technical teams to understand workflow gaps, process bottlenecks, and automation opportunities
• Track what is new in AI and search — new models, agent tooling, and changes in AI-driven discovery — test them yourself, form a view, and bring us proposals with a working prototype or a clear cost-benefit case behind them
• Maintain clean documentation for workflows, integrations, API logic, and technical decisions

Skills

Background in software engineering

LLM APIs

Strong Python

APIs & integrations

Agent/workflow design

Go & TypeScript

Frontend basics

Tools

WordPress

CMS APIs

Google Search Console

GA4

OpenAI / Claude / Gemini APIs

Codex / Claude Code

Job description

Rankpage Sdn Bhd is a leading SEO agency in Malaysia , helping brands get found on Google and on AI search engines. With over 10 years of search expertise, we serve clients from SMEs to enterprises across Malaysia, Singapore, and Hong Kong.

Our work spans the full search stack, from on-page to off-page SEO and from local to international SEO, alongside Google Ads and social media management. We are also among the first agencies in the market to lead on AI SEO (GEO): making brands visible and cited inside ChatGPT, Gemini, AI Overviews, and other AI search engines, rather than in traditional Google Search alone.

About the Role

We are looking for an AI Automation & Agent Engineer who can turn business problems into working software.

Search marketing involves an enormous amount of repetitive work, exp: research, auditing, briefing, reporting, and publishing. Our view is that most of it should be handled by systems that run on their own. Your job is to build those systems: LLM-powered agents and automations that run in production, carry real operational load, and free our specialists to do the thinking that actually moves client rankings.

This role suits someone who enjoys working with LLMs, APIs, automation tooling and agentic coding tools, and who wants their work used every day rather than sitting in a repository.

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Key Responsibilities

• Build and own production AI agents — design the prompts, the tools and functions they call, and the conversation or workflow logic behind them
• Turn business problems into agentic workflows — break a task down, connect the APIs, tools and knowledge sources it needs, and orchestrate multi-step agents that complete real work
• Automate the SEO and marketing workflow — keyword and competitor research, content briefing, on-page auditing, internal linking, publishing and client reporting
• Integrate LLM APIs such as OpenAI, Anthropic Claude, Gemini, and similar platforms into real operational workflows
• Build and maintain integrations across the marketing stack — Google Search Console, GA4, Google Ads, Ahrefs and similar SEO APIs, WordPress and other CMS platforms, Shopify, Slack, Google Sheets and internal tools
• Develop APIs, webhooks and backend services to connect systems that were never designed to talk to each other, handling rate limits, authentication, retries and messy data
• Support day-to-day backend work on our in-house platform — API endpoints, database queries, background jobs, scheduled tasks, logging and monitoring
• Use agentic coding tools such as Claude Code, Codex, and similar AI-assisted development tools to ship faster
• Measure and improve quality — run prompt experiments, build evals, and ship improvements based on evidence rather than assumption
• Monitor live systems — debug failures, strengthen guardrails, and keep reliability rising as usage grows
• Work with non-technical teams to understand workflow gaps, process bottlenecks, and automation opportunities
• Track what is new in AI and search — new models, agent tooling, and changes in AI-driven discovery — test them yourself, form a view, and bring us proposals with a working prototype or a clear cost-benefit case behind them
• Maintain clean documentation for workflows, integrations, API logic, and technical decisions

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What We Are Looking For

• Background in Software Engineering, Computer Science, IT, Data Science or equivalent hands‑on ability — what you have built matters more to us than where you studied
• Hands‑on experience building with LLM APIs : prompt engineering, tool and function‑calling, RAG, or agent frameworks
• Strong Python , and confident working with APIs to build and ship integrations end to end
• Working backend ability — a backend framework, SQL, Git and basic deployment; comfortable moving through a codebase you did not write
• Practical experience integrating third‑party APIs, and with at least one CMS or platform API (WordPress preferred)
• A track record of shipping — production work, client work, hackathon wins or personal builds. Please share GitHub, live demos or write-ups
• AI‑native: fluent with modern AI tooling and fast at turning an idea into something that runs
• Genuinely current — you can tell us what changed in AI or search in the last month, and why it matters
• Bias for action, comfort with ambiguity, and clear communication with non‑technical colleagues

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Good to have

• Backend architecture and problem‑solving — able to reason about how services fit together, weigh trade‑offs, and debug problems you have not seen before
• Go & TypeScript

Reliability, Security & Cloud

• Production reliability and security — monitoring and alerting, incident handling, secrets management, access control, and safe handling of user data
• Cloud and deployment experience — containers, CI/CD, and running services on a major cloud provider
• Alibaba Cloud experience specifically
• Digital marketing or SEO exposure

Domain & Tooling

• Digital marketing or SEO exposure
• Eval frameworks and structured LLM testing
• Scraping and crawling at scale
• Enough frontend ability to build a usable internal tool

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Why Join Us

• Your work gets used. We are not running an AI pilot programme. What you build goes into daily operations and is judged on results.
• Real problems, real data. Client work across multiple industries and markets, plus our own product, not toy datasets.
• Front row on AI search. GEO and AI visibility are being defined right now, and we are building the tooling for it.
• Short path from idea to production. No layers of approval between a good idea and a shipped one.