Agentic AI DevOps Senior

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

We are looking for an Agentic AI DevOps Senior to join a strategic initiative focused on building, deploying, and operating an enterprise-grade Agentic AI Platform. This platform will enable developers across the organization to self-service infrastructure, AI capabilities, prompts, and reusable agentic components through standardized, governed, and scalable development paths.

You will work closely with the Technical Lead, contributing hands-on expertise in both DevOps and Agentic AI technologies while helping drive the platform's long-term sustainability and adoption.

🚀 What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

• Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

• Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

• Amazon Web Services

• Astronomer

• Databricks

🌟 Our Values* 📊 We are Data Nerds

• 🤗 We are Open Team Players

• 🚀 We Take Ownership

• 🌟 We Have a Positive Mindset 🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀 Responsibilities 🤓* 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.

Required Skills 💻

DevOps & Platform Engineering

• 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.

Agentic AI & LLM Operations

• 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.

🎁 Perks* 🌍 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!