This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI Automation Engineer in Latin America.

In this role, you will design, build, and deploy AI-powered solutions that accelerate software development processes and optimize internal workflows. You will work across engineering, DevOps, and product teams to identify opportunities for automation, integrate intelligent agents, and develop tools that improve developer productivity and product delivery. This position is fully remote, with occasional collaboration across time zones, offering a highly autonomous environment. You will experiment with emerging AI technologies, lead the adoption of scalable workflows, and turn innovative concepts into tangible operational improvements. Your work will directly enhance efficiency, quality, and speed across multiple engineering teams, shaping the way AI is applied internally.

Accountabilities

Design, develop, and deploy LLM-powered tools, AI agents, and automation workflows to improve engineering productivity.
Identify high-impact automation opportunities by collaborating with cross-functional teams to uncover bottlenecks and inefficiencies.
Partner with stakeholders to ensure successful adoption of AI-powered tools, provide guidance, and gather feedback for continuous improvement.
Participate in architecture and design decisions to ensure solutions are scalable, secure, and maintainable.
Contribute to building an internal AI knowledge base and experiment with emerging frameworks and technologies.
Mentor teams on AI integration and automation best practices, driving consistency across engineering processes.

Requirements

5+ years of experience in software engineering, data engineering, or ML engineering with a proven track record of end-to-end technical ownership.
Strong programming skills in Python, with experience designing, building, and deploying production-grade services or tools.
Solid understanding of machine learning fundamentals, including data preparation, model training, evaluation, and embeddings.
Hands-on experience integrating APIs and designing scalable automation workflows.
Knowledge or hands-on experience with LLMs and applied AI frameworks (e.g., OpenAI, LangChain, Hugging Face).
Strategic mindset with the ability to define roadmaps and align technical work with business objectives.
Strong communication and stakeholder management skills for cross-functional collaboration.
Autonomy, initiative, and the ability to lead projects without step-by-step guidance.
Exposure to DevOps, CI/CD pipelines, or cloud platforms such as AWS, GCP, or Azure.
Proven English fluency for effective collaboration across distributed teams.

Benefits

Competitive compensation with potential for growth in a cutting-edge AI and software engineering environment.
Fully remote work, offering flexibility and work-life balance.
Paid time off and support for personal well-being through programs like unlimited leave.
Access to professional development and opportunities to work with emerging AI technologies.
Premium health, dental, and life insurance depending on location.
Employee stock options and additional perks such as stipends for wellness, sports, or learning activities.
Opportunity to make a tangible impact on engineering productivity and product delivery speed.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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