Design and implement Generative AI solutions with measurable business impact.
Create and optimize language models and AI pipelines with a focus on security, performance, and observability.
Deploy solutions on cloud infrastructure (AWS/Azure) ensuring scalability and reliability.
Collaborate with cross-functional teams to align deliverables with organizational OKRs.
Document technical designs and maintain standards for integration and continuous improvement.
Research emerging technologies and propose enhancements to the AI ecosystem.
Contribute to the evolution of autonomous agent architectures and RAG systems.

5+ years of experience designing and implementing solutions in Generative AI, Cloud Ecosystems, or Automation.
Strong understanding of Agile methodologies (Scrum, Kanban) and ability to thrive in dynamic, sprint-based environments.
Technical mindset with the ability to structure and deploy robust, scalable, and secure AI components.
Advanced proficiency in Python and frameworks such as LangChain, LangGraph, FastAPI.
Solid experience integrating and consuming LLMs (OpenAI GPT, Gemini, Claude) and implementing RAG systems with vector databases (FAISS, ChromaDB, Azure AI Search).
Hands-on experience with AWS or Azure, containerization (Docker, Kubernetes), CI/CD pipelines, and infrastructure automation (Terraform).
Strong knowledge of REST APIs, event-driven architectures, and autonomous agent frameworks.
Proven ability to document technical designs and maintain standards for integration and continuous improvement.
Excellent communication and collaboration skills, with experience working cross-functionally in multidisciplinary teams.

A remote-first role with monthly in-person alignment milestones in Córdoba or Buenos Aires.
A long-term opportunity to grow your expertise in Generative AI, cloud ecosystems, and automation.
A collaborative environment that values innovation, experimentation, and continuous learning.

Middle GenAi Engineer

Key skills