1 month ago
Buenos Aires, ArgentinaMid Level
Responsibilities
- Build pipelines, backends, frontends, and proofs of concept using GitHub Copilot and AI agents.
- Integrate LLMs, retrieval-augmented generation, and AI agents into the Data+ platform to automate data engineering and operational tasks.
- Design reusable platform capabilities and data pipelines.
- Implement automation, CI/CD, and infrastructure as code on AWS.
- Integrate APIs and tools to make the platform increasingly self-service.
Requirements
- Hands-on experience building with generative AI, including daily use of GitHub Copilot or a similar tool and at least one project involving LLMs, retrieval-augmented generation, or agents.
- Experience in data engineering, data platforms, or cloud data engineering.
- Strong Python and SQL skills.
- Experience with AWS and data pipelines.
- Ability to work across pipelines, backend, and frontend development and rapidly ship proofs of concept.
- Knowledge of Git, CI/CD, and infrastructure as code.
- Preferred experience with Redshift, Glue, Lake Formation, dbt, Terraform, data mesh or lakehouse architectures, vector databases, agent frameworks, or spec-driven development.
Benefits
- Remote-first work arrangement with the ability to work from anywhere.
- In-company English lessons.
- Wellhub or sports club stipend.
- AWS, dbt, Google Cloud, Azure, and Databricks certifications fully covered.
- Food credits via Pedidos Ya.
- Birthday off and an additional vacation week.
- Referral bonuses.
- Annual team trip.
- Monthly childcare reimbursement.
Categories
AI ApplicationsData Engineering
