Detalles consultados el 12-11-2026. La disponibilidad final se confirma al postular.

Modalidad Remoto

Desde dónde Chile y más

Colombia, Argentina, Nicaragua, Ecuador, French Guiana, Bolivia, Guatemala, Brazil, Guyana, Falkland Islands (Malvinas), Panama, Belize, Peru, Paraguay, El Salvador, Venezuela, Suriname, Honduras, Uruguay, Costa Rica , Chile

Dedicación Jornada completa

Del aviso original

Lo que dice el aviso

Texto del anunciante, sin resumir. Abajo está el aviso completo.

Antes de postular

Herramientas dev

Cursos de .NET

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Idioma original: English. Se conserva su redacción y las condiciones publicadas.

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Aviso completo del anunciante

Idioma original: English. Se conserva su redacción y las condiciones publicadas.

Leer el texto completo del aviso

Sobre el cargo

- You will join an engineering team focused on developing intelligent applications that automate business processe, improve decision-making, and enhance operational efficiency.
- The team works on LLM-powered applications, Retrieval-Augmented Generations (RAG), autonomous AI agents, and enterprise AI integrations.
- you'll collaborate with software engineers, product managers, and business stakeholders to turn AI concepts into reliable, scalable products.
- The focus is on building practical AI solutions that deliver measurable business value-not just prototypes or demonstrations.

Qué harás

- Design, develop and deploy production-ready AI applications using Python,



FastAPI and modern AI frameworks.
- Build LLM-powered applications using OpenAI, Claude, Gemini, and open-source models.
- Develop and optimize RAG pipe lines using Langchain, LangGraph, embeddings and vector databases.
- Architect AI agents, multi-agent systems and automated workflows with reliable tool integraions.
- Integrate AI Capability with backend APIs, PostgreSQL, Redis, and enterprise systems.Imple
- Implement model evaluation, prompt optimization, fine-tuning, and inference performance inprovements.

Qué pide la empresa

- 5+ years of professional software engineering experience, including hands-on AI/ML development.
- Strong proficiency in Python, FastAPI, REST APIs, and backend architecture.
- Practical experience developing applciations with LLMs and Generative AI.
- Hands-on experience with RAG, LangChain, and vector databases.
- Experience building AI agents using function calling, tool integration, and workflow orchestration.
- Understanding of embeddings, prompt engineering, model evaluation, and inference optimization.
- Experience with PostgreSQL, Redis, and vector search technologies such as pgvector, Pinecone, or FAISS.
- Familiarity with PyTorch, Hugging Face, TensorFlow, or scikit-learn.
- Experience deploying applications using cloud infrastructure and containerization.
- Strong understanding of software farchitecture, performance optimization, testing, and production reliability.
- Excellent problem-solving skills and ability to communicate technical decisions effectively.

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📌 Senior AI Engineer (Chile)
🏢 Teletrabajo
📍 Chile