AI Engineering Lead (AI)

TL;DR

AI Engineering Lead (Generative AI): Driving the design, architecture, and production deployment of advanced Generative AI solutions with an accent on LLM-based systems, agentic workflows, and RAG pipelines. Focus on bridging rapid prototyping with scalable production deployment and establishing Responsible AI guardrails.

Location: Guadalajara, Mexico (Flexible working options)

Company

hirify.global is a premier AI services provider committed to co-creating meaningful impact for clients through data science, AI, and technology.

What you will do

• Architect and lead the implementation of production-grade AI solutions leveraging LLMs, transformer-based models, and RAG pipelines.
• Design and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.
• Oversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) for scalability and reliability.
• Establish best practices for prompt engineering, evaluation frameworks, and model performance monitoring.
• Implement Responsible AI practices, including prompt injection mitigation and bias reduction.
• Mentor junior and mid-level engineers, ensuring high-quality, modular, and maintainable Python code standards.

Requirements

• Degree in Computer Science, Data Science, Engineering, or equivalent practical experience.
• Proven experience designing and deploying generative AI systems to production environments.
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, or similar tools.
• Advanced proficiency in Python and production-grade coding practices.
• Experience with containerization, CI/CD pipelines, and cloud-native architectures.
• Must be based in or be able to work from the Guadalajara, Mexico office.

Culture & Benefits

• Learning opportunities including certifications in AWS, Databricks, and Snowflake, and access to Udemy Business.
• Tailored study plans, AI learning paths, and English language lessons.
• Career development plans and professional mentorship programs.
• Travel opportunities to attend industry conferences and meet clients.
• Company-provided equipment and flexible working options to support work-life balance.