TL;DR
Senior Software Automation Engineer (AI & IT Systems): Designing and building AI-driven systems that improve efficiency, reliability, and scalability across IT and internal platforms with an accent on automating operational workflows and improving system reliability. Focus on applying AI/LLM technologies for decision-making and incident analysis, ensuring solutions meet governance, privacy, and reliability standards.
Location: Remote, Must be based in MX
Company
hirify.global specializes in human-generated data to train, fine-tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition.
What you will do
- Design software-based automation and AI-driven systems to improve efficiency, reliability, and scalability of IT and internal platforms.
- Build internal tools, services, and integrations using APIs, event-driven systems, and CI/CD practices.
- Automate operational workflows using AI and LLM technologies to support decision-making and incident analysis.
- Improve system reliability by turning incident trends and operational pain points into durable automation.
- Strengthen engineering standards across IT automation through version control, testing, documentation, and observability.
Requirements
- 6+ years of experience in software engineering, automation, platform engineering, or related roles.
- Strong foundation in software engineering principles including code quality, testing, and maintainability.
- Proficiency in Python, JavaScript, Go, or similar languages used for automation and internal tooling.
- Experience building and operating production systems or internal tools.
- Demonstrated experience applying AI or LLM-based solutions in real-world production environments.
- Background in SRE, DevOps, Platform Engineering, or IT automation with experience operating systems at scale.
Nice to have
- Experience with cloud platforms such as AWS or enterprise productivity ecosystems such as Microsoft 365, including Power Automate and Graph APIs.
- Familiarity with infrastructure as code, CI/CD pipelines, or internal developer tooling.
- Exposure to identity and access management or zero trust networking solutions such as Twingate.
- Experience with monitoring, observability, logging, or operational data systems.
Culture & Benefits
- Foster a culture of innovation, collaboration, and excellence.
- Value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.
- Work on complex challenges that shape the future of AI across industries and geographies.
- Work alongside talented people in a culture that values humility over ego.
- Have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities.
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