Forward Deployed Engineer (AI) - Argentina

📋 Description

• Partner with clients to translate business problems into production AI systems.
• Design and build robust ETL/ELT pipelines for AI-powered apps and data availability.
• Develop end-to-end RAG data pipelines: ingestion, embeddings, vector storage.
• Implement ML Ops with evaluation suites and guardrails.
• Integrate AI components via REST/GraphQL, event streams, and cloud services.
• Contribute to internal accelerators and reference implementations.

🎯 Requirements

• 3–5 years of software engineering; at least 1 year shipping AI/LLM features.
• Strong Python; proficient in TypeScript/JavaScript, Go, or Java.
• Hands-on with modern LLM APIs (Anthropic, OpenAI, Azure OpenAI).
• Data engineering tooling: dbt, Airflow, Dagster, Snowflake, BigQuery, Databricks.
• RAG patterns, embeddings, and vector stores (e.g., pgvector, Pinecone).
• Cloud (AWS/Azure/GCP); container deployment; secrets/IAM; testing/observability.

🎁 Benefits

• Remote-first culture with strong async docs, updates, and PRs.
• Growth investments: LLM playgrounds, AI guild, senior architects.
• Opportunity to work at the frontier of applied AI.
• Remote LATAM location and long-term independent contractor.
• Significant overlap with US Eastern Time for collaboration.
• Supportive, inclusive environment with clear ownership.