#11 Senior AI DevOps Engineer
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Key details
- Location
- Buenos Aires, Argentina
- Work style
- Hybrid
- Level
- Senior
- Job type
- Full-time
- Function
- DevOps / Infrastructure
- Focus area
- AI / ML
- Posted
- 3w ago
Skills
About the role
🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀
We're looking for a Senior AI DevOps Engineer to join one of the leading banks in Argentina.
In this role, you'll be responsible for evaluating low-code tools and agent builders, developing proofs of concept, and deploying and operating the selected solution (such as n8n or another tool) within the organization's cloud environment. You'll also integrate it with the corporate ecosystem and develop custom code whenever the tools can't solve a specific need.
If you're a Data Nerd who enjoys building innovative solutions and working with new technologies, we'd love to connect! 🐶🚀
🚀 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
Responsibilities 🤓
- Evaluate low-code tools and agent builders (n8n or others) by standing them up in the organization's cloud account and testing them against real use cases: what works, what doesn't, and why.
- Deploy and operate whichever tool gets adopted: containers, Terraform, GitHub Actions, secrets, networking, and security controls.
- Integrate it with the corporate ecosystem: auth (OAuth2, SSO), internal APIs, and connectors against the systems the use cases depend on.
- Build in Python and JavaScript/TypeScript whatever the tools can't solve on their own, including integrations and custom connectors for the Copilot Studio use cases, documented and reproducible.
- Replace manual deploys with CI/CD pipelines and add observability.
- Technically validate any new solution before it's adopted or shipped to production.
Required Skills 💻
- Strong Python and JavaScript/TypeScript.
- API integrations with corporate auth (REST, OAuth2).
- Cloud deployment with containers, Terraform, and GitHub Actions.
- Experience evaluating tools or platforms and taking them to production for other teams to use.
- Technical autonomy: able to decide how things get built and own that decision without close supervision.
Nice to have 💻
- Experience deploying or operating a self-hosted low-code or agent-builder platform (n8n, Dify, Flowise, or similar).
- AWS.
- Microsoft ecosystem (Copilot Studio, Power Platform, Azure, and Entra ID).
- Observability with Grafana or similar.
🎁 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!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
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