Work where work matters.

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, Pay Pal, and Jaguar Land Rover call when deadlines seems impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you'll be proud to tell your friends about.

We are looking for a

Senior AI Engineer

with deep expertise in Vertex AI, Python, and Large Language Models to join our Americas team. In this role, you will be responsible for architecting and deploying the production-grade AI solutions that power next-generation intelligent applications for our enterprise clients in North America.

Based in Argentina, you will act as a core technical pillar for the region, bridging the gap between client requirements and high-performance delivery. You will focus on engineering excellence, specifically in the realms of generative AI, RAG architectures, and agentic systems, while collaborating with our general engineering teams in Europe.

We look for people who embody:

Innovation

to solve the hardest problems.

Accountability

for every result.

Integrity

always.

About The Role

Architect AI Solutions:

Build and deploy production-grade AI features, including RAG (Retrieval-Augmented Generation) pipelines, LLM orchestrations, and Agentic workflows using Vertex AI





Develop Core Logic:

Write clean, maintainable, and highly efficient code in Python to support AI model integration and data-intensive applications

Optimize Model Performance:

Fine-tune models for specific business logic and optimize LLM prompts to ensure accuracy, relevance, and safety for enterprise use cases

Engineer Data Sources:

Optimize and manage data sources and vector databases to ensure high-quality retrieval for context-aware AI systems

Collaborate Globally:

Work closely with US-based product owners and European delivery teams, requiring a proactive communication style and flexibility for early-morning syncs

Ensure Quality:

Champion best practices in AI observability, evaluation frameworks, and automated testing to ensure the reliability of enterprise-level deployments

Consult with Clients:

Partner with clients to develop new AI concepts and enhancements, translating business goals into technical AI roadmaps

This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend regular quality time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.

What Success Looks Like

Engineering Experience:

Extensive professional experience in software engineering,



with a significant focus on AI/ML implementation

AI/ML Integration:

Mastery of the Vertex AI ecosystem and proven experience integrating LLMs into production-grade applications

Python Expertise:

Mastery of the Python ecosystem, specifically libraries used for AI development and data manipulation

GCP Proficiency:

Hands-on experience with Google Cloud Platform services, specifically Vertex AI, Big Query, and Cloud Functions

Dev Ops Skills:

Proficiency with Docker and CI/CD pipelines as they apply to MLOps workflows

Communication:

Fluent English skills with the ability to discuss technical trade-offs clearly with both peers and stakeholders

Nice to Have

AI Frameworks:

Deep experience with Lang Chain or Llama Index

Data Engineering:

Understanding of data pipelines and ETL processes to support AI model training and retrieval

Advanced RAG:

Experience with sophisticated retrieval techniques and vector search optimization

Certifications:

GCP Professional Machine Learning Engineer

Our Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

OSDE 210 for family group

Work from Home Allowance - (50 USD varies from company to company)

Birthday leave

10 paid learning days per year

Bonusly 100 points per month to recognise colleagues

Diversity and Inclusion

At Beyond, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

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📌 Senior AI Engineer (Buenos Aires)
🏢 Qodea
📍 Buenos Aires