Senior Fullstack AI Engineer (AI)

TL;DR

Senior Fullstack AI Engineer (AI): Building production-ready enterprise applications integrating generative AI capabilities with an accent on defining requirements, designing architectures, and formulating project proposals. Focus on actively coding both the frontend and backend, ensuring robust software quality through comprehensive testing methodologies.

Location: Remote / Latin America Flexible

Company

hirify.global is a global software engineering powerhouse dedicated to solving complex digital challenges.

What you will do

• Build and maintain robust, scalable code across the entire stack, from the UI down to the database and API layers.
• Connect applications to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and various third-party APIs.
• Own the technical implementation, deployment, and debugging of the application throughout the full software development lifecycle.
• Conduct ongoing performance monitoring and implement optimizations to ensure high system efficiency.
• Participate in and lead code reviews to uphold engineering standards and best practices.
• Ensure robust software quality through comprehensive testing methodologies, including unit, integration, and end-to-end (E2E) testing.

Requirements

• 6+ years of software engineering experience with deep proficiency in JavaScript/TypeScript and Python.
• Production experience with modern frontend frameworks (React, Angular, or Vue) and backend frameworks (Node.js, Express, FastAPI, or Django).
• Deep expertise in integrating LLM APIs (e.g., OpenAI, Anthropic, Gemini) and utilizing AI orchestration frameworks (LangChain, LlamaIndex).
• Strong communication skills with a proven ability to present technical architectures to external clients or non-technical stakeholders.
• Database expertise.
• DevOps tools for CI/CD and Containerisation (docker, kubernetes).

Nice to have

• Experience working with Vector Databases (Pinecone, Weaviate, Qdrant).
• Familiarity with cloud deployment on AWS, GCP, or Azure.
• Previous experience in a consulting, agency, or pre-sales environment.

Culture & Benefits

• Engineering excellence.
• Transparent communication.
• Passion for pushing the boundaries of what is possible in the AI landscape.