Middle GenAI Engineer (Python)

TL;DR

Middle GenAI Engineer (Python): Designing and implementing Generative AI solutions with an accent on RAG systems, LLM integration, and cloud-native automation. Focus on building robust, scalable AI components and autonomous agent architectures within enterprise environments.

Location: Must be based in Argentina (Córdoba or Buenos Aires) with a hybrid work model requiring monthly in-person alignment.

Company

hirify.global is a global technology services provider offering business advisory, product development, and software engineering solutions.

What you will do

• Design and implement Generative AI solutions with measurable business impact.
• Create and optimize language models and AI pipelines focusing on security and performance.
• Deploy scalable solutions on AWS or Azure cloud infrastructure.
• Collaborate with cross-functional teams to align deliverables with organizational goals.
• Document technical designs and maintain standards for integration.
• Research emerging technologies to enhance the AI ecosystem.

Requirements

• 5+ years of experience in Generative AI, Cloud Ecosystems, or Automation.
• Advanced proficiency in Python and frameworks like LangChain, LangGraph, and FastAPI.
• Solid experience integrating LLMs and implementing RAG systems with vector databases.
• Hands-on experience with AWS or Azure, containerization, and infrastructure automation.
• Strong knowledge of REST APIs, event-driven architectures, and autonomous agent frameworks.
• Must be based in or able to work from Córdoba or Buenos Aires, Argentina.

Nice to have

• Experience orchestrating data and AI pipelines with Data Factory or Event Hub.
• Familiarity with Microsoft Copilot or Gemini in enterprise environments.
• Knowledge of AI security hardening and mitigation of GenAI vulnerabilities.
• Experience in regulated industries like financial services or banking.

Culture & Benefits

• Remote-first role with regular in-person team alignment.
• Long-term growth opportunities in AI and cloud domains.
• Collaborative environment valuing innovation and continuous learning.
• Commitment to diversity, equity, and inclusion.

Hiring process

• Application review by the talent team.
• Talent acquisition interview to discuss goals and company culture.
• Technical interview focusing on problem-solving and expertise.
• Potential customer interview for project alignment.