Senior AI Engineer

Teletrabajo

Chile

Remote

CLP 88,322,000 - 147,203,000

Full time

23 hours ago
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Job summary

Teletrabajo busca ingeniero/a de software senior centrado en IA para un equipo de ingeniería que desarrolla aplicaciones inteligentes que automatizan procesos de negocio y mejoran la toma de decisiones. Colaborarás con ingenieros, PM y stakeholders para convertir conceptos de IA en productos fiables y escalables.

Trabajarás en soluciones prácticas de IA con valor comercial medible, más que simples prototipos, con un enfoque en rendimiento y producción.

Qualifications

  • 5+ años de experiencia profesional en ingeniería de software, con desarrollo IA/ML.
  • Domina Python, FastAPI, REST APIs y arquitectura de backend.
  • Experiencia práctica con modelos LLM y AI generativa.

Responsibilities

  • Diseñar, desarrollar y desplegar aplicaciones de IA en producción con Python, FastAPI y marcos actuales.
  • Construir aplicaciones impulsadas por LLM usando OpenAI, Claude, Gemini y modelos open-source.
  • Desarrollar y optimizar pipelines RAG con Langchain, LangGraph, embeddings y bases de datos vectoriales.
  • Arquitectar agentes de IA, sistemas multiagente y flujos de trabajo automatizados.
  • Integrar capacidades de IA con APIs backend, PostgreSQL, Redis y sistemas empresariales.
  • Implementar evaluación de modelos, optimización de prompts, ajuste fino y mejoras de rendimiento.

Skills

Python
FastAPI
REST APIs
AI/ML development
Cloud infrastructure

Tools

PostgreSQL
Redis
vector databases
pgvector
Pinecone
FAISS

Job description

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 Tiempo completo

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

Prepara ejemplos de tu experiencia que respondan a los requisitos publicados. Si falta un dato importante para ti, confírmalo con la empresa.

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

La fuente, sin mezclar con el resumen

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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