Job profile

- Machine Learning Engineer

Location : Mexico (REMOTE)

Job: Full Time Contract

- Role

: AI/Backend Orientation

- Education

: Systems Engineering degree or equivalent formal education/practical experience.

- Seniority

: 5+ years of total software engineering experience, with 2+ years of hands-on experience building and deploying production-grade AI-powered applications.

- Core Stack

: Python (FastAPI), Major Cloud Provider (GCP, AWS, or Azure), Machine Learning / GenAI APIs.

- Backend Must-Haves

: Microservices architecture, system design, containerization (Docker/Kubernetes) *desirable, message-driven architectures (e.g., Pub/Sub, Kafka, SQS), and relational/non-relational databases.

- AI Must-Haves

: LLM orchestration frameworks (e.g.,



LangChain, LlamaIndex, LangGraph), API integration, Prompt Engineering, production RAG architectures, and multi-agent systems.

- Nice-to-Haves

: Experience with Google Cloud Platform (specifically Cloud Run, Vertex AI, GCS), basic MLOps (model serving, feature stores), and LLM evaluation/observability frameworks.

- Soft Skills

: Ability to write PRDs and RFCs, break down vague business requirements into clear technical tasks, and take end-to-end feature ownership.

- Languages

: English (C1/Fluent)

📌 Machine Learning Engineer (México)
🏢 Epsilon LATAM.
📍 México