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Agentic AI DevOps Specialist

MUTT DATA

Role overview

Qualifications

  • 4+ years of experience in DevOps, Platform Engineering, SRE, or Backend Engineering
  • Strong Kubernetes experience, including administration, networking, Helm, and automation
  • Experience with Terraform and Infrastructure as Code
  • 1–2+ years of hands-on experience working with Agentic AI, GenAI, or LLM-based platforms

Responsibilities

  • Design, deploy, maintain, and operate an enterprise Agentic AI Developer Platform
  • Build and manage Kubernetes-based infrastructure supporting AI and agentic workloads
  • Develop Infrastructure as Code (IaC) solutions using Terraform and related tooling
  • Design and maintain CI/CD pipelines, automation frameworks, and deployment processes

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

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

We are looking for an Agentic AI DevOps Specialist 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, deploy, maintain, and operate an enterprise Agentic AI Developer Platform.
  • Build and manage Kubernetes-based infrastructure supporting AI and agentic workloads.
  • Develop Infrastructure as Code (IaC) solutions using Terraform and related tooling.
  • Design and maintain CI/CD pipelines, automation frameworks, and deployment processes.
  • Implement observability, monitoring, tracing, and operational best practices.
  • Evaluate, integrate, and customize AI platforms, frameworks, and developer tooling.
  • Enable self-service development experiences through templates, scaffolding, and standardized workflows.
  • Support prompt lifecycle management, agent orchestration, and AI platform governance.
  • Collaborate with technical stakeholders to ensure scalability, security, reliability, and cost efficiency.

    • Required Skills 💻

    DevOps & Platform Engineering

    • 4+ years of experience in DevOps, Platform Engineering, SRE, or Backend Engineering.
    • Strong Kubernetes experience, including administration, networking, Helm, and automation.
    • Experience with Terraform and Infrastructure as Code.
    • Experience designing and maintaining CI/CD pipelines (GitHub Actions or similar).
    • Knowledge of Linux administration, containers, registries, IAM, and RBAC.
    • Experience with observability, monitoring, and cloud-native infrastructure.
    • Familiarity with Internal Developer Platforms (IDPs) and self-service infrastructure concepts.

      • Agentic AI & LLM Platforms

      • 1–2+ years of hands-on experience working with Agentic AI, GenAI, or LLM-based platforms.
      • Experience with frameworks such as LangChain, LangGraph, LangFuse, LangSmith, or similar.
      • Knowledge of prompt engineering, prompt versioning, evaluation, and A/B testing.
      • Experience with RAG architectures, vector databases, embeddings, and semantic search.
      • Understanding of agent orchestration patterns, autonomous agents, and tool integrations.
      • Familiarity with MCP, memory layers, guardrails, and AI observability practices.
      • Understanding of commercial and open-source LLMs and their trade-offs.

    🎁 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!
    •

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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