Senior IA Engineers
Remote · Argentina
Job Summary
Design, build, and optimize large-scale search and retrieval platforms. Develop backend services and APIs using Python frameworks such as FastAPI or Flask. Build and maintain ETL and data ingestion pipelines. Implement semantic search, vector search, KNN retrieval, and Retrieval-Augmented Generation (RAG) solutions. Design and optimize retrieval strategies including reranking, query decomposition, and document chunking. Work across Python and Node.js/TypeScript ecosystems to deliver scalable backend solutions. Develop and maintain asynchronous and event-driven ingestion pipelines using messaging and streaming technologies. Manage and optimize OpenSearch/Elasticsearch clusters, indexes, mappings, and search performance. Deploy, operate, and troubleshoot cloud-native solutions within AWS environments. Monitor, debug, and optimize production systems to ensure reliability, scalability, and performance.
Required Qualifications
- 8+ years backend engineering experience
- Strong hands-on experience with Python for backend services and ETL/data pipelines
- Experience developing APIs and services using FastAPI and/or Flask
- Proven experience with OpenSearch and/or Elasticsearch
- Experience with vector search, semantic search, embeddings, and RAG architectures
- Hands-on experience with Node.js/TypeScript
- Experience with AWS (Lambda, ECS, OpenSearch, ALB/NLB)
- Experience building asynchronous and event-driven ingestion pipelines (SQS, Kafka, SNS, RabbitMQ)
- Experience with unit testing and validation in Python/TypeScript environments
- Nice-to-have: experience with Datadog/OpenTelemetry/Grafana/CloudWatch
- Familiarity with deployment and production monitoring in cloud environments
- Background in AI-powered search or enterprise search
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