AI Engineer (Python, Machine Learning, Generative AI/LLMs)

Location: Mexico; fully remote work

Company

hirify.global is a global digital product engineering partner founded in 2011 that builds and scales custom solutions for businesses and enterprise clients.

What you will do

• Design, build, and deploy intelligent solutions using Machine Learning, Deep Learning, and Generative AI.
• Work across the AI/ML lifecycle, from experimentation and model development to integration and production deployment.
• Build AI-powered applications using Large Language Models, NLP, embeddings, semantic search, and RAG pipelines.
• Integrate AI/ML APIs, foundation models, and third-party AI services into production applications.
• Collaborate with engineering, product, and data teams to turn complex business challenges into scalable solutions.
• Improve AI engineering standards, reliability, observability, and responsible development practices.

Requirements

• Strong Python proficiency and experience developing production-ready AI/ML applications and services.
• Experience with Machine Learning model development, evaluation, optimization, and implementation.
• Hands-on experience with Generative AI, LLM applications, Deep Learning, neural networks, and modern model architectures.
• Practical experience with PyTorch and/or TensorFlow, plus NLP techniques such as text processing, embeddings, classification, or generation.
• Experience designing RAG pipelines, vector-based retrieval, AI/ML API integrations, MLOps, model deployment, monitoring, versioning, and CI/CD.
• Strong software engineering fundamentals, including maintainability, scalability, testing, code quality, and collaboration in a distributed environment.

Nice to have

• LLM fine-tuning, prompt engineering, and model evaluation experience.
• Experience with vector databases, AI agents, tool or function calling, and multi-agent architectures.
• Experience with cloud AI/ML platforms, containerization, orchestration, observability, guardrails, responsible AI, or model governance.
• Experience optimizing AI applications for performance, latency, scalability, and cost.

Culture & Benefits

• Fully remote, collaborative environment with distributed engineering, product, and data teams.
• Work on innovative AI-powered products with real-world scale and impact.
• Opportunity to explore emerging AI technologies and improve intelligent solution delivery.
• Focus on reliability, responsible development, and continuously raising AI engineering standards.