Full-stack Software Engineer, Applied AI (LATAM)

** This is a remote position for English-speaking candidates based in LATAM only. **

About EasyMate

EasyMate.ai - Your AI Tech Team in a box - AI product manager, engineer, and analyst all rolled into one.

Just tell it what your business needs in plain English, EasyMate.ai rallies its crew of friendly AI Mates: PlanMate, CodeMate, DataMate, and more to whip up custom AI solutions and smart assistants to automate work and boost revenue. No code, no pricey hires —just smarter, faster growth.

We are a VC-backed early-stage startup. Our company is 100% remote.

About This Role

We seek an ambitious and talented full-stack Software Engineer to join our team to help build and maintain a cutting-edge AI platform. You will work on developing robust, scalable applications and APIs that enhance our product offerings, improve user experiences, and create competitive advantages in the market. This role requires a passion for AI technologies and the ability to work with state-of-the-art tools and frameworks.

Key Responsibilities:

• Implement and optimize AI functionalities using advanced frameworks such as LangGraph for complex, multi-agent workflows
• Build and maintain APIs for model serving and application integration
• Design and develop user-facing, full-stack solutions using modern web frameworks
• Implement best practices for authentication, authorization, and data security
• Collaborate with ML engineers to productize new AI agents and models

Qualifications:

• 5+ years of professional experience in full-stack development with Python, Typescript
• Experience with NextJS/React or similar frameworks
• Expertise in backend development with frameworks like FastAPI, Flask
• Experience with AI technologies, including large language models and vector databases
• Knowledge of database management systems (e.g., PostgreSQL, MongoDB)
• Experience with cloud platforms, preferably GCP
• Strong problem-solving skills and ability to debug complex issues
• Excellent communication skills (English) and ability to work in a collaborative team environment
• Must be proficient in English

Preferred Skills:

• Experience with AI agent development and multi-agent systems
• Experience with model serving frameworks including FastAPI
• Experience with AI frameworks such as LangGraph, CrewAI, LlamaIndex
• Familiarity with monitoring tools (OpenTelemetry)
• Experience with CI/CD pipelines and DevOps practices
• Proficient with Docker and Kubernetes