21 час назад
Senior Backend AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend AI Engineer (Python/LLM): Building and scaling high-performance Python backend infrastructure for live AI products with an accent on RAG systems, LLM observability, prompt versioning, and agentic workflows. Focus on optimizing token costs and retrieval strategies, detecting model and data drift, and delivering reliable integrations with vector databases and LLM providers.
Location: Remote from Buenos Aires, Bogotá, Lima, Montevideo, Porto Alegre, or Ciudad de México
Company
designs and delivers scalable digital solutions for global companies, combining technical expertise with a product-oriented approach to complex software initiatives.
What you will do
- Refactor, maintain, and scale backend and AI framework layers to support multi-tenant growth.
- Implement production LLM observability, token cost optimization, retrieval tuning, and real-time model and data drift detection.
- Build prompt versioning systems, A/B testing pipelines, and LLM evaluation frameworks.
- Develop copilot services and agentic workflows that generate structured emails, text messages, and call scripts.
- Deliver Python backend services, integrations, and APIs connecting to Pinecone and LLM providers.
- Drive features from concept through production in client cloud environments while maintaining code quality and operational standards.
Requirements
- 5+ years of software development experience, primarily focused on backend systems.
- 3+ years of production Python engineering experience.
- 2+ years building, deploying, and maintaining production Retrieval-Augmented Generation systems.
- Experience with LLM observability and tracing, prompt versioning, A/B testing, evaluation frameworks, and production drift monitoring.
- Senior-level ownership, technical execution, ambiguity resolution, and independent delivery.
- Fluent English is required for daily collaboration with US-based teams.
Nice to have
- Experience with agentic applications or copilot workflows using LangGraph, AutoGen, or custom frameworks.
- Hands-on experience with vector databases, especially Pinecone.
- Experience with token cost management and retrieval optimization at scale.
- EdTech or plugin-based integration experience.
Culture & Benefits
- 100% remote work.
- Long-term engagement with high impact and autonomy.
- High-visibility role within a modern engineering culture.
- Opportunity to influence technical and business strategy.
- Collaborative international team, clear growth opportunities, and potential leadership progression.
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