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.