Full-Stack AI Engineer (LatAm)

I’m helping WorldAssist Consulting find a top candidate to join their team flexible for the role of Full-Stack AI Engineer (LatAm).

You'll architect AI-driven solutions, shaping a global startup's mission from the ground floor.

Compensation:

USD 0/month

Location:

Remote: Argentina

Mission of WorldAssist Consulting:

"Empower Your Business with Innovative IT Solutions."

What makes you a strong candidate:

• You have +5 years experience in Python, Node.js, Full-stack development.
• You have +3 years experience in React.js.
• English - Fully fluent

Responsibilities and more:

About the Role:

WorldAssist is a newly launched IT consulting startup on a mission to build cutting-edge solutions for our global clients. We are looking for a high-impact Full Stack AI Engineer based in Latin America to join us at the ground floor. You will bridge the gap between robust software architecture and intelligent AI/ML models, helping us deliver scalable, AI-driven products.

What You'll Do:

- Design and develop end-to-end applications, from responsive front-end interfaces to scalable back-end services.

- Integrate AI/ML models into production environments, ensuring high performance and reliability.

- Collaborate directly with the founding team to architect technical solutions for diverse consulting projects.

- Optimize data pipelines and ensure seamless communication between the stack and the AI layer.

Must-Have Requirements:

- Education: B.S. in Computer Science, Software Engineering, or a related technical field.

- Full Stack Mastery: At least 5 years of hands-on experience in full-stack development (e.g., React/Vue, Node.js/Python/Go).

- AI/ML Expertise: At least 1–2 years of proven experience building or deploying AI/ML models (LLMs, NLP, computer vision, or predictive analytics).

- Location: Must be based in Latin America.

- Language: Professional proficiency in English (for client communication).

Preferred Skills:

- Experience with Cloud infrastructure (AWS, GCP, or Azure).

- Familiarity with vector databases (Pinecone, Milvus) and AI frameworks (LangChain, PyTorch, or TensorFlow).

- Startup mindset: Comfortable with ambiguity and fast-paced delivery.

Your potential leader(s):

• Mark Anthony -