Lead Fullstack Engineer (AI)

TL;DR

Lead Fullstack Engineer (AI): Leading architecture, design, and development of end-to-end systems, integrating backend services with AI/ML pipelines and ensuring data consistency. Focus on designing scalable systems, maintaining observability, and automating recovery mechanisms across cloud environments.

Location: Brazil / Colombia / Costa Rica / El Salvador

Company

hirify.global is a rapidly scaling technology company specializing in working with and investing in prominent start-ups and brands in building and scaling their digital products.

What you will do

• Lead architecture, design, and development end to end.
• Integrate backend services with AI / ML pipelines, ensuring data consistency and system performance.
• Collaborate closely with ML and data engineers to deploy, iterate, and monitor AI-powered features.
• Design and maintain robust, scalable, systems capable of handling high traffic.
• Ensure observability, monitoring, performance tuning, and automated recovery mechanisms are in place.
• Own CI/CD pipelines and IaC (Terraform, CloudFormation, etc.) across cloud environments.

Requirements

• 12+ years of experience building and scaling systems (SaaS).
• 3-5 years working on Fullstack capability.
• Expert proficiency in Python and frameworks like Django and/or FastAPI.
• Strong proficiency in Javascript / Typescript with modern frameworks like ReactJs
• Exposure to AI/ML or data-driven products (e.g. recommendation systems, search, classification)
• Deep knowledge of API design (REST / GraphQL) and databases (PostgreSQL, Redis, or similar).
• Proficiency with cloud infrastructure (AWS preferred) and infrastructure-as-code tools (Terraform, etc.).
• Strong foundation in scalability, fault tolerance, performance tuning, and observability.
• Excellent communication and documentation skills, able to explain complex concepts clearly.
• Comfort working autonomously and making high-impact technical decisions in dynamic environments.

Nice to have

• Startup or small-team experience (versus only large organizations).
• Experience integrating or serving AI/ML models in production environments.
• Familiarity with AI/ML ecosystems (e.g. OpenAI, Hugging Face, LangChain).
• Exposure to backend data and infrastructure scaling for AI inference.
• Open-source contributions or personal technical projects.
• Ability to work across multiple cloud environments (AWS preferred).

Culture & Benefits

• Remote first work environment
• Competitive compensation
• Laptop subsidy
• Fixed subsidies/reimbursed expenses for healthcare, connectivity, and wellness.