Applied AI Engineer (Retrieval / RAG)

Contractor · Remote in LATAM · Full-time · Long-term

📍 Remote (Latin America based candidates only).

Build the retrieval systems that power AI agents with trusted, grounded knowledge.

We're building an AI-native patient access platform for healthcare, and we're hiring engineers who have built production RAG systems that real users depend on. You'll own the retrieval layer that ensures our agents answer with accurate, explainable information backed by citations.

What you'll do

Build and own production RAG pipelines by ingesting EHR Clarity exports, configuration data, and other knowledge sources.
Design indexing and retrieval strategies using embeddings, hybrid search, and graph retrieval.
Ground AI responses with reliable citations and continuously improve retrieval quality through evaluation and reranking.
Query and leverage the knowledge graph in partnership with the Knowledge Graph & Ontology Architect.
Keep the knowledge layer accurate and up to date as source systems evolve.

Tech Stack

Language: Python
AI/ML: LLMs, Retrieval-Augmented Generation (RAG), Embeddings
LLM Tooling: LangChain, LangGraph (or equivalent agentic frameworks)
Knowledge Layer: Neo4j, Cypher, Knowledge Graphs
Caching: Redis
Evaluation: Retrieval evaluation, Grounding, Citation, Reranking

What you'll need to do with it

Python: Build and maintain production retrieval pipelines.
Production RAG: Design and optimize ingestion, indexing, retrieval, grounding, and citation workflows at production scale.
Knowledge Graphs: Query graph data using Cypher, Neo4j, or equivalent technologies.
Retrieval: Implement embeddings, hybrid retrieval, graph retrieval, reranking, and retrieval evaluation.
LLMs & AI Agents: Build retrieval systems that reliably ground agent responses.
Redis: Optimize token usage, latency, and cost through effective caching.

Bonus

Healthcare data, EHR/Clarity, or FHIR.
Production knowledge graphs or GraphRAG.
LangGraph or other agent frameworks.

Why Join

Competitive compensation paid in USD.
100% Remote.
Work on production-grade AI products transforming patient access.
Paid Time Off: 12 PTO days per year.
Local Holidays: All official holidays in your country.
Birthday Off.
Career Growth.
Recognition Program.
Paid approved leaves.