AI Engineer — Vertex AI, LLMs & Python

Qodea; Buenos Aires; Sur place; ARS 97 269 000 - 142 162 000; Plein temps

Avantages offerts par ce poste

OSDE 210 for family group

Work from Home Allowance

Birthday leave

10 paid learning days per year

Bonusly points

Résumé du poste

Beyond is seeking an AI Engineer in Argentina to build production-grade AI features and orchestrations for enterprise clients. You will write clean Python, deploy LLMs, and collaborate with global teams to translate business needs into scalable AI roadmaps.

You will work with Vertex AI, BigQuery, and Docker in a fast-paced environment that values observability and robust deployment practices. On-site collaboration and client work are expected.

Qualifications

• 2+ years of professional software engineering experience with a focus on AI/ML and Python development.
• Practical experience with Vertex AI and integrating LLMs into web applications.
• Mastery of the Python ecosystem and data manipulation libraries.
• Hands-on with Google Cloud Platform services: Vertex AI, BigQuery, Cloud Functions.
• DevOps skills including Docker and CI/CD pipelines in MLOps workflows.

Responsabilités

• Build AI features and production-grade AI solutions.
• Develop core logic in Python to support AI model integration.
• Optimize model performance and LLM prompts for enterprise use cases.
• Engineer data sources and vector databases for high-quality retrieval.
• Collaborate with US and European teams; communicate effectively across time zones.
• Implement observability and evaluation frameworks for enterprise deployments.
• Consult with clients to translate business goals into AI roadmaps.

Connaissances

Python

Vertex AI

LLMs

Docker

Google Cloud Platform

English fluency

Formation

Bachelor's degree in CS or related field

Outils

LangChain

LlamaIndex

BigQuery

Cloud Functions

Description du poste

Beyond is seeking an AI Engineer in Argentina to build production-grade AI features and orchestrations for enterprise clients. You will write clean Python, deploy LLMs, and collaborate with global teams to translate business needs into scalable AI roadmaps.

You will work with Vertex AI, BigQuery, and Docker in a fast-paced environment that values observability and robust deployment practices. On-site collaboration and client work are expected.