AI Developer
Mexico · hace 3 días
Trabajarás sirviendo LLMs de código abierto en entornos locales y on-premises, construyendo pipelines RAG e integraciones MCP, y llevando funcionalidades impulsadas por LLM de prototipo a producción. El puesto también incluye servicios backend en Python, despliegues en la nube y CI/CD para servicios de IA.
- Modalidad
- Remoto
- Nivel
- Intermedio
- Experiencia
- 3+ años
Skills
Sobre el puesto
## Responsibilities • Serve and operate open-source LLMs using Ollama and llama.cpp locally and in on-premises environments • Build and maintain RAG pipelines involving embeddings, vector databases, chunking strategies, and retrieval quality • Develop MCP integrations connecting LLMs to internal tools and data sources • Build Python backend services for ML inference and AI-driven product features • Parse and process structured and semi-structured data, including XML/XSD and Office document formats • Grow into model optimization, including GGUF quantization, GPU/CUDA tuning, and offline/air-gapped deployments • Build and maintain CI/CD pipelines for AI services • Deploy AI workloads to Microsoft Azure and AWS and containerize services with Docker • Automate operational tasks with Python, Bash, and/or PowerShell • Troubleshoot across the stack and identify root causes • Support event-driven architectures using Apache Kafka producers and consumers • Work with engineering and product teams to take LLM-powered features from prototype to reliably deployed systems ## Requirements • 3–5+ years engineering experience with production-level Python for building real services, LLM inference, RAG pipelines, and automated tooling • Hands-on LLM and AI integration serving models via Ollama/llama.cpp, implementing vector retrieval/RAG, and developing MCP integrations • Cloud and infrastructure expertise covering Azure/AWS deployments, Docker containerization, Linux/Windows administration, and CI/CD automation using Azure DevOps, GitHub Actions, or GitLab CI • DevOps, security, and operations awareness, including Git workflows, Python/Bash/PowerShell scripting, Prometheus/Grafana, DevSecOps, and compliance frameworks such as SOC 2, ISO 27001, and Zero Trust • Strong problem-solving and communication skills, root-cause troubleshooting mindset, self-directed learning, strong ownership, and remote/distributed team collaboration • GPU/CUDA tuning and model quantization are nice to have • Terraform, Kubernetes, Kafka, or Go/Rust/C++ are a plus
Publicada el 6 nov 2026