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AI Platform Engineer Agent Infrastructure
Contract | 100% Remote (Mexico)
Were hiring an AI Platform Engineer Agent Infrastructure for a fast-growing AI automation company building intelligent agent systems and scalable backend infrastructure. Ideal for early-career engineers excited to work across backend services, data systems, and AI frameworks to support next-generation autonomous agents.
Role Overview
You'll help build and maintain the core infrastructure that powers a rapidly expanding fleet of AI agents. This includes backend APIs, data pipelines, vector search systems, and cloud deployments. Youll work closely with AI and full-stack engineers to deliver reliable, scalable, and high-performance systems that support real production workloads. This is an excellent role for engineers eager to learn cutting-edge AI technologies and contribute to agent platforms used across industries.
What You'll Do
- Design and implement RAG (retrieval-augmented generation) pipelines for agent memory and knowledge retrieval
- Develop backend systems using Python frameworks (FastAPI, Django, Flask)
- Build and optimize integrations with LangGraph, LangChain, and vector databases (Chroma, Weaviate, Pinecone)
- Manage and monitor cloud environments using AWS (or equivalent in GCP/Azure)
- Implement storage and data systems using S3 or other cloud storage platforms
- Build CI/CD pipelines and containerized deployments (Docker, GitHub Actions)
- Implement monitoring, observability, and reliability systems for AI agents
- Collaborate closely with AI and full-stack engineers to deliver robust platform components
Requirements
- 1-3 years of experience in backend, data, or infrastructure engineering
- Proficiency in Python with strong understanding of API, backend, or data layer development
- Experience with or interest in LangChain, LangGraph, or AI system design
- Familiarity with cloud infrastructure (AWS, GCP, or Azure)
- Knowledge of containerization, CI/CD, and observability tools
- Enthusiasm for learning AI infrastructure and contributing to production systems
Nice-to-Haves
- Experience with vector databases, S3, or data pipeline tools
- Exposure to AI observability, prompt evaluation, or model testing
- Experience with event-driven or serverless architectures
Why This Role
- Collaborate with senior engineers on high-impact AI systems
- Learn modern AI infrastructure while working on real production deployments
- Work 100% remotely from anywhere in Mexico
- Join a culture built on innovation, trust, and continuous learning
