Senior DevOps Engineer, Agentic AI

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design, develop, deploy, and maintain a comprehensive enterprise-wide Agentic AI Developer Platform that standardizes and facilitates the development of AI agents throughout the organization.

• Implement and manage platform components, integrations, frameworks, and necessary infrastructure to provide scalable and reliable agentic AI solutions.

• Collaborate with architects and technical stakeholders to convert platform designs into production-ready implementations, ensuring compliance with security, governance, and engineering standards.

• Oversee the platform's lifecycle, which includes deployment automation, monitoring, troubleshooting, performance enhancement, and operational support.

• Assess, integrate, and tailor existing AI platforms, orchestration tools, frameworks, and cloud-native services to create a seamless developer experience.

• Develop abstractions, reusable components, and development standards that expedite agent development while ensuring consistency across teams.

• Offer technical guidance and mentorship to junior and mid-level engineers, fostering engineering best practices and knowledge sharing.

• Work independently on intricate technical projects, assuming ownership of implementation, delivery, and operational excellence with minimal supervision.

• Collaborate with cross-functional teams to comprehend business requirements and continuously enhance platform capabilities, scalability, and developer productivity.

• Contribute to platform documentation, operational procedures, and governance practices to guarantee long-term maintainability and adoption throughout the organization.

⛳️ Requirements

• A minimum of 4 years of experience in DevOps, Platform Engineering, SRE, Backend Engineering, or similar infrastructure-centric roles.

• Strong practical experience with Kubernetes, encompassing cluster administration, networking, deployments, and operational support.

• Proficiency with Terraform and Infrastructure as Code (IaC) methodologies.

• Experience in designing, implementing, and maintaining CI/CD pipelines and deployment automation frameworks.

• Solid understanding of Linux administration, containerization technologies, container registries, IAM, and RBAC concepts.

• Familiarity with monitoring, observability, logging, and troubleshooting within Kubernetes environments.

• Comprehension of cloud-native architectures, platform operations, and production infrastructure best practices.

• 1 to 2 years of experience in developing or maintaining solutions based on LLMs and AI agents.

• Experience with frameworks like LangChain, LangGraph, CrewAI, or AutoGen.

• Knowledge of prompt engineering, evaluation, and monitoring of GenAI applications.

• Familiarity with observability tools such as LangSmith, LangFuse, or similar platforms.

• Experience in integrating AI agents with APIs, databases, and external tools.

• Strong programming skills in Python.

• Experience in building, testing, and deploying AI-powered applications in production settings.

• Understanding of RAG (Retrieval-Augmented Generation) architectures and vector databases is a plus.

• Experience with cloud platforms (AWS, GCP, or Azure) is preferred.

🏝️ Benefits

• 🌍 Remote-first culture – work from anywhere!

• 🚀 In-Company English Lessons.

• 💪 Wellhub or sports club stipend to stay active.

• 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.

• 🍕 Food credits via Pedidos Ya – because great work deserves great food.

• 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️).

• 🤝 Referral bonuses – help us grow the team & get rewarded!

• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!