Senior DevOps Engineer, Agentic AI

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MUTT DATA

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

📡 Telecommunications

Artificial Intelligence • Consulting • Telecommunications

MUTT DATA is a consulting firm that specializes in leveraging AI and machine learning to create automated systems that drive revenue for their clients. They offer solutions in sectors such as Adtech, Martech, Fintech, and Telecommunication, focusing on optimizing advertising platforms, enhancing data-driven marketing strategies, and providing real-time insights in financial and telecommunications networks. MUTT DATA provides expert team augmentation, seamless integration of data architectures in the cloud, and tailor-made solutions to refine product strategies. Their services include implementing modern data stacks, marketing mix modeling, and generative AI. MUTT DATA partners with leading companies like Amazon Web Services, Google Cloud, and others to deliver advanced data and AI solutions. They are recognized in LATAM for their AWS competencies and expertise in data science and MLOps, ensuring robust, scalable, and cost-effective data systems for their clients.

📋 Description

• Design, develop, deploy, and maintain an enterprise-wide Agentic AI Developer Platform that enables and standardizes the development of AI agents across the organization. • Implement and operate platform components, integrations, frameworks, and supporting infrastructure required to deliver scalable and reliable agentic AI solutions. • Collaborate with architects and technical stakeholders to translate platform designs into production-ready implementations, ensuring alignment with security, governance, and engineering standards. • Manage the lifecycle of the platform, including deployment automation, monitoring, troubleshooting, performance optimization, and operational support. • Evaluate, integrate, and customize existing AI platforms, orchestration tools, frameworks, and cloud-native services to build a cohesive developer experience. • Create abstractions, reusable components, and development standards that accelerate agent development while maintaining consistency across teams. • Provide technical guidance and mentorship to junior and mid-level engineers, promoting engineering best practices and knowledge sharing. • Work autonomously on complex technical initiatives, taking ownership of implementation, delivery, and operational excellence with minimal supervision. • Partner with cross-functional teams to understand business requirements and continuously improve platform capabilities, scalability, and developer productivity. • Contribute to platform documentation, operational procedures, and governance practices to ensure long-term maintainability and adoption across the organization.

🎯 Requirements

• 4+ years of experience in DevOps, Platform Engineering, SRE, Backend Engineering, or similar infrastructure-focused roles • Strong hands-on experience with Kubernetes, including cluster administration, networking, deployments, and operational support • Experience with Terraform and Infrastructure as Code (IaC) practices. • Experience designing, implementing, and maintaining CI/CD pipelines and deployment automation frameworks. • Solid understanding of Linux administration, containerization technologies, container registries, IAM, and RBAC concepts. • Knowledge of monitoring, observability, logging, and troubleshooting within Kubernetes environments. • Understanding of cloud-native architectures, platform operations, and production infrastructure best practices. • 1–2+ years of experience developing or maintaining solutions based on LLMs and AI agents. • Experience with frameworks such as 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 integrating AI agents with APIs, databases, and external tools. • Strong programming skills in Python. • Experience building, testing, and deploying AI-powered applications in production environments. • Understanding of RAG (Retrieval-Augmented Generation) architectures and vector databases is a plus. • Experience working with cloud platforms (AWS, GCP, or Azure) is desirable.

🏖️ 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!