Key Facts

Remote From:

Latin America

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Google Sheets
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Task Planning
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Creative Design
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Teamwork
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Communication
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Collaboration

Roles & Responsibilities

5+ years of development experience with Python or Node.js
Strong understanding of LLMs, vector databases, API orchestration, and agent frameworks (LangChain, CrewAI, AutoGen, etc.)
Proven experience integrating marketing APIs (Meta, Google, TikTok, etc.)
Familiarity with prompt engineering, tool calling, and autonomous task planning

Requirements:

Design, build, and deploy agentic AI systems that autonomously plan, execute, and optimize marketing tasks (e.g., campaign setup, ad testing, creative generation, and reporting)
Integrate LLMs, APIs, and marketing platforms (Roku ads platform, Meta, TikTok, Google Ads, etc.) into cohesive multi-step agent frameworks
Develop memory, reasoning, and feedback loops for agents to improve over time
Implement automation pipelines connecting data sources (e.g., CRM, Sheets, analytics dashboards) to agentic workflows

Talent Hackers

Human Resources, Staffing & Recruiting

About Talent Hackers

Talent Hackers is the first nodal distributed network platform for the search and recruitment of technology and digital professionals based on paid referrals. Through the dynamic distribution of offers, performed by our algorithm, these reach key profiles, activating passive talent, the one that is not actively looking for a job. Nodal technology is based on the data available on the Internet, creating networks of "nodes" over which the offers are distributed. By "nodes" we mean individuals, training centers, social and/or professional networks, communication channels, publications, groups, job boards, forums, blogs and other portals. A "node" can refer to many things. In short, it is there where we are going to impact with the offer because there are professionals who fit with it. And it is through the application of digital marketing techniques, how we impact that talent. Then, our paid referral system is the core of our collaborative model and where its full power is shown, as it allows anyone to share our offers with their contacts and be rewarded if one of their referrals is finally incorporated into the company. When creating an account on Talent Hackers, each user generates a unique code that will be added to the url that they share with their network. This way we can identify the candidates that come through a talent hacker and deliver their reward if the candidate is hired.

Industry: Human Resources, Staffing & Recruiting

Founded: 2018

Company size: 11 - 50

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Job description

Job Overview:
Are you the kind of engineer who loves turning chaos into clean, automated magic? Do you get excited about AI agents that can plan, execute, and optimize marketing campaigns on their own?

We’re looking for an AI Automation Engineer to build smart, self-learning systems that power marketing across Meta, Google, TikTok, and more. If you’re all about blending AI, automation, and real results. This is your stage.

Core Tasks:

Design, build, and deploy agentic AI systems that autonomously plan, execute, and optimize marketing tasks (e.g., campaign setup, ad testing, creative generation, and reporting)
Integrate LLMs, APIs, and marketing platforms (Roku ads platform, Meta, TikTok, Google Ads, etc.) into cohesive multi-step agent frameworks
Develop memory, reasoning, and feedback loops for agents to improve over time
Implement automation pipelines connecting data sources (e.g., CRM, Sheets, analytics dashboards) to agentic workflows
Collaborate with marketing and data teams to identify high-ROI use cases for AI agent
Maintain system performance, logging, and monitoring to ensure safe, efficient operation

Must Haves:

5+ years of development experience with Python or Node.js
Strong understanding of LLMs, vector databases, API orchestration, and agent frameworks (LangChain, CrewAI, AutoGen, etc.)
Proven experience integrating marketing APIs (Meta, Google, TikTok, etc.)
Familiarity with prompt engineering, tool calling, and autonomous task planning
Experience with cloud deployment (AWS, GCP, or Azure)
Strong communication and documentation skills
Strong (C-level) written and verbal English communication skills
Ability to work full-time EST