AI Developer
Salvo Software · vía remoteok · Semi-senior
🇦🇷 Sí, aplica para Argentina
Empresa global con equipos distribuidos en LATAM; no declara restricción geográfica excluyente para Argentina.
✦ Resumen en castellano
Salvo Software busca un AI Developer para construir y operar sistemas con LLMs en producción: servir modelos open-source con Ollama/llama.cpp, armar pipelines RAG y desarrollar integraciones MCP. Necesitan 3–5+ años en Python production-grade, experiencia hands-on con LLM inference y RAG, plus cloud (Azure/AWS), Docker, CI/CD y scripting. Ofrecen un rol híbrido en una empresa global con equipos distribuidos en US, LATAM e India; no mencionan salario explícito.
Aviso original en remoteok
Salvo Software is a global technology company specializing in custom software development and advanced engineering solutions. With distributed teams across the US, LATAM, and India, we partner with clients to build high-performance, scalable systems that solve complex technical challenges. Our culture values innovation, ownership, and engineering excellence. We're growing our AI department and are looking for a hands-on AI Developer to help build it. Role Overview We are looking for an AI Developer to join and strengthen our AI department. Your core work will be building and operating LLM-powered systems: serving open-source models with Ollama and llama.cpp, building RAG pipelines, and developing MCP integrations that connect large language models to real tools and data. Solid DevOps fundamentals - Docker, CI/CD, Azure - support this work, but AI engineering is the heart of the role. You don't need to be a deep ML researcher. What matters is production-grade Python, strong fundamentals, and the aptitude to learn fast. You'll work closely with our engineering and product teams to take LLM-powered features from prototype to reliably deployed systems, with mentorship available as you ramp up in areas like RAG architecture, Kafka, and advanced MCP work. Key Responsibilities AI / LLM Engineering (core focus) Serve and operate open-source LLMs using Ollama and llama.cpp, locally an…
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