Fullstack AI Engineer (LLM)

TL;DR

Fullstack AI Engineer (LLM): Building and deploying production-ready AI-powered applications with an accent on LLM integration, RAG pipelines, and scalable full-stack architecture. Focus on transforming AI prototypes into secure, high-performance real-world solutions across backend systems and frontend interfaces.

Location: Remote (Argentina, Peru, Brazil, Colombia, Mexico). Working hours: U.S. Business Hours

Company

hirify.global is a talent acquisition firm hiring for a client seeking to scale their AI product capabilities.

What you will do

• Develop and deploy AI-powered applications using LLMs, PyTorch, and TensorFlow.
• Build scalable AI inference APIs with FastAPI, Flask, or Node.js.
• Implement RAG pipelines and semantic retrieval using vector databases like Pinecone or Weaviate.
• Create responsive frontend interfaces using React, Next.js, or Vue.
• Design and maintain ETL/ELT pipelines and orchestrate workflows using Airflow or Prefect.
• Manage deployment via Docker, Kubernetes, and CI/CD pipelines.

Requirements

• Must be based in Argentina, Peru, Brazil, Colombia, or Mexico.
• Availability to work during U.S. Business Hours.
• 3+ years of software engineering experience with AI/ML integration.
• Proficiency in Python and JavaScript/TypeScript.
• Experience deploying LLM applications into production.
• Strong SQL skills and experience with cloud platforms.

Nice to have

• Experience building AI-powered SaaS products.
• Knowledge of LangChain, AI agents, Vertex AI, or SageMaker.
• Experience with LLM fine-tuning and MLOps.
• Startup or high-growth product background.

Hiring process

• Initial recruiter screening and video interview.
• Technical assessment.
• Final client interview.
• Introductory video submission via Spark Hire.