Senior IA Engineer

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design, construct, and enhance large-scale search and retrieval platforms.

• Create backend services and APIs utilizing Python frameworks such as FastAPI or Flask.

• Develop and sustain ETL and data ingestion pipelines.

• Implement solutions for semantic search, vector search, KNN retrieval, and Retrieval-Augmented Generation (RAG).

• Design and refine retrieval strategies, including reranking, query decomposition, and document chunking.

• Collaborate across Python and Node.js/TypeScript ecosystems to provide scalable backend solutions.

• Develop and maintain asynchronous and event-driven ingestion pipelines using messaging and streaming technologies.

• Manage and enhance OpenSearch/Elasticsearch clusters, indexes, mappings, and search performance.

• Deploy, operate, and troubleshoot cloud-native solutions within AWS environments.

• Monitor, diagnose, and optimize production systems to ensure reliability, scalability, and performance.

⛳️ Requirements

• 8+ years of backend engineering experience in building distributed, high-performance systems.

• Strong practical experience with Python for backend services and ETL/data pipelines.

• Proficient in developing APIs and services using FastAPI and/or Flask.

• Demonstrated experience working within mixed Python and Node.js/TypeScript ecosystems.

• Advanced knowledge of OpenSearch and/or Elasticsearch, encompassing mappings, sharding strategies, DSL queries, tokenizers/analyzers, and cluster management.

• Experience in implementing semantic search solutions, embeddings, vector search, KNN retrieval, and RAG architectures.

• Practical experience with LlamaIndex or similar retrieval/RAG frameworks.

• Ability to apply retrieval optimization techniques such as reranking, query decomposition, and document chunking strategies.

• Strong background in Node.js and TypeScript for backend and API integrations.

• Significant AWS experience, including Lambda, ECS, Managed OpenSearch, and ALB/NLB.

• Excellent troubleshooting, debugging, and performance optimization abilities in production environments.

• Experience in building asynchronous and event-driven ingestion pipelines using technologies like SQS, Kafka, SNS, or RabbitMQ.

• Familiarity with unit testing frameworks and validation strategies across JavaScript/TypeScript and Python-based systems.

🏝️ Benefits

• Career Path Planning – You can create a career path based on your goals.

• We provide training, mentoring, and support to help you along the way.

• Training & Mentorship – Learning and Development is a significant part of our company culture.

• You will have unlimited access to Udemy, internal courses and training, and a robust mentorship program.

• Hubs – You will join a community of intivers sharing the same professional profile.

• There is space for knowledge sharing with peers possessing similar capabilities and for accessing the latest technology trends.

• Culture & Connection – We foster connections within teams, across functions, and throughout the organizational hierarchy.

• We ensure that everyone is acknowledged and feels connected to our mission and each other.