Fullstack AI Engineer (LLM)

TL;DR

Fullstack AI Engineer (LLM/Python/React): Building and deploying production-ready AI-powered applications with an accent on bridging full-stack engineering and AI/ML integration. Focus on creating RAG pipelines, scalable inference APIs, and user-facing AI interfaces to turn prototypes into reliable products.

Location: Remote from Argentina, Peru, Brazil, Colombia, or Mexico. Must be available during U.S. Business Hours.

Company

hirify.global is a technical talent network connecting high-execution engineers with innovative companies to build scalable AI products.

What you will do

• Deploy and integrate LLMs (OpenAI, Hugging Face) and build scalable inference APIs using FastAPI, Flask, or Node.js.
• Implement RAG pipelines, embeddings, and semantic retrieval using vector databases such as Pinecone, Weaviate, or FAISS.
• Develop modern frontend interfaces and AI-powered user experiences using React and Next.js.
• Build and automate ETL/ELT pipelines for various datasets using Airflow, Prefect, or Dagster.
• Containerize applications with Docker and deploy them into Kubernetes environments with robust CI/CD pipelines.
• Collaborate with product teams to translate AI prototypes into secure, production-ready features.

Requirements

• 3+ years of experience in software engineering and AI/ML integrated systems.
• Proficiency in Python (PyTorch, TensorFlow) and JavaScript/TypeScript (React, Node.js).
• Proven experience deploying AI/ML models into production and working with vector databases.
• Strong knowledge of SQL and cloud data warehouse environments.
• Experience with Docker and cloud infrastructure management.
• Must be based in Argentina, Peru, Brazil, Colombia, or Mexico and align with US Business Hours.

Nice to have

• Experience with AI-powered SaaS product development and LLM fine-tuning.
• Knowledge of MLOps tools like Vertex AI, SageMaker, or Kubeflow.
• Experience with LangChain and AI agents.
• Background in startup or high-growth product environments.
• Expertise in microservices and serverless architectures.

Culture & Benefits

• High-impact role with full ownership across the entire technical stack.
• Direct exposure to modern LLM infrastructure and cutting-edge AI tooling.
• Fast-paced engineering environment with significant influence on product architecture.
• Full-time remote work flexibility within the designated LATAM region.

Hiring process

• Initial phone screen and video interview with a hirify.global recruiter.
• Technical assessment to evaluate engineering skills.
• Client interviews with the engineering team.