Senior AI Engineer

Location: Remote from Guadalajara, Jalisco, Mexico

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver data-driven solutions for clients.

What you will do

• Architect and implement production-grade AI solutions using LLMs, transformer-based models, RAG pipelines, and agentic systems.
• Design, develop, and optimize multi-step AI agents with tool and API invocation, reasoning chains, and state management.
• Deploy and optimize AI applications across AWS, Azure, or GCP for scalability, reliability, and cost efficiency.
• Develop practices for prompt engineering, evaluation, model monitoring, guardrails, and Responsible AI, including prompt-injection mitigation, content moderation, bias reduction, and safety controls.
• Collaborate with Data Science, Engineering, MLOps, and Product stakeholders to move solutions from prototypes into production.
• Support experimentation, KPI definition, data-driven decision-making, and the development of modular, maintainable Python code.

Requirements

• Degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
• Strong expertise in transformer-based models and LLM architectures.
• Proven experience designing and deploying applied machine learning or generative AI systems in production.
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock Agents, or similar tools.
• Advanced Python proficiency and production-grade coding practices.
• Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures.
• Strong leadership, collaboration, and communication skills, including experience bridging rapid prototyping with scalable production deployment and working across Data Science and Engineering.

Culture & Benefits

• Full-time employment with flexible working options.
• Access to AWS, Databricks, and Snowflake certifications, AI learning paths, study plans, courses, and Udemy Business.
• English lessons, career development plans, mentoring, and professional development support.
• Opportunities to attend industry conferences and meet clients.
• Company-provided equipment and special-day rewards for birthdays, work anniversaries, and other milestones.
• Benefits may vary by location in LATAM.