Key Facts

Remote From:

Argentina

Category: AI Specialist

Full time

Mid-level (2-5 years)

English

Hard Skills

DevOps Kubernetes Terraform Intelligent Agent Platform Design And Development CI/CD Linux Administration Containerization Observability Continuous Monitoring +12 more

Other Skills

•
Collaboration
•
Problem Solving
•
Adaptability

Roles & Responsibilities

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

Requirements:

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

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.