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4 дня назад

Senior AI Engineer (Generative AI)

Формат работы
remote (только Mexico)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Engineer (Generative AI): Designing and deploying production-grade AI solutions based on LLMs, transformer models, RAG pipelines, and agentic systems with an accent on scalability, reliability, cost-efficiency, and Responsible AI. Focus on building multi-step agents, integrating tools and APIs, optimizing cloud deployments, and moving applied AI solutions from prototypes to production.

Location: Remote from Guadalajara, Jalisco, Mexico

Company

hirify.global is an AI services provider that delivers data science, artificial intelligence, technology, and people-focused solutions for clients.

What you will do

  • Design and implement production-grade AI solutions using LLMs, transformer-based models, RAG pipelines, and agentic systems.
  • Develop and optimize multi-step AI agents with tool and API invocation, reasoning chains, and state management.
  • Deploy and optimize AI-powered applications across AWS, Azure, or GCP for scalability, reliability, and cost-efficiency.
  • Contribute to prompt engineering, evaluation frameworks, and monitoring of latency, grounding, factuality, and cost.
  • Implement guardrails and Responsible AI practices, including prompt-injection mitigation, content moderation, bias reduction, and safety controls.
  • Collaborate with Data Scientists, Software Engineers, Product stakeholders, and MLOps teams to move solutions from prototype to production, while supporting maintainable Python development and data-driven experimentation.

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 proficiency in Python and production-grade coding practices.
  • Experience with containerization, CI/CD pipelines, versioning, and cloud-native architectures.
  • Strong leadership skills and the ability to bridge rapid prototyping with scalable production deployment.
  • Excellent collaboration and communication skills, including experience working across Data Science and Engineering.

Culture & Benefits

  • Flexible working options.
  • AWS, Databricks, and Snowflake certification opportunities.
  • AI learning paths, study plans, courses, and role-specific certifications.
  • Access to Udemy Business and English lessons.
  • Mentorship and career development plans.
  • Industry conference and client travel opportunities, company-provided equipment, and special day rewards; benefits may vary by LATAM location.

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