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

In this role, you will lead the design, development, and deployment of cutting-edge AI and generative AI systems, driving innovation across retrieval, multi-agent, and evaluation pipelines. You will work closely with Product and Engineering teams to ensure AI solutions are scalable, reliable, and secure, balancing rapid experimentation with operational excellence. This position offers the opportunity to shape high-impact AI systems in production, optimize inference and retrieval pipelines, and implement best practices for model reliability, observability, and security. The fully remote environment encourages autonomy, collaboration, and continuous learning, allowing you to grow while contributing to advanced AI initiatives across diverse industries.

Accountabilities

Design, develop, deploy, and maintain AI-powered distributed systems and generative AI solutions.
Operate, monitor, and optimize AI/ML models in production, ensuring performance, reliability, and cost efficiency.
Contribute to system architecture decisions, balancing latency, scalability, and operational considerations.
Implement best practices for AI security, observability, evaluation, and prompt engineering.
Collaborate with cross-functional teams to deliver production-grade AI solutions and align initiatives with business goals.
Optimize retrieval, inference, and multi-agent pipelines for accuracy, efficiency, and reliability.
Stay current with emerging AI frameworks, tools, and methodologies to enhance system design and innovation.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field.
6+ years of experience in Python software engineering, including async programming and frameworks like FastAPI.
4+ years of experience designing and implementing scalable microservices and distributed systems.
3+ years deploying AI/ML or Generative AI solutions in production with orchestration, observability, and cloud environments (AWS, Azure, GCP).
Hands-on experience with LLM frameworks (LangChain, LangGraph, Hugging Face, OpenAI APIs) and prompt engineering techniques, including validation, schema enforcement, and hallucination mitigation.
Experience with RAG (Retrieval-Augmented Generation) and multi-agent systems, coordinating AI pipelines effectively.
Strong understanding of AI system reliability, observability, performance optimization, and security practices.
Proficiency with Docker, Kubernetes, CI/CD pipelines, and message queues (Kafka, RabbitMQ, or SQS).
Advanced English level for effective collaboration with international teams.

Benefits

Competitive USD salary.
Fully remote work with opportunities to connect with teams across LATAM.
Paid time off according to local regulations, plus national holidays and sick leave.
Refundable annual credit for personal perks to enhance work-life balance.
Birthday day off to celebrate in style.
Team-building activities, tech talks, and community engagement.
Supportive People Care team for wellness, administrative, and onboarding needs.

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.

This 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 offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.

Thank you for your interest!

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