Mid AI/LLM Engineer (Remote)
Summary
Hands-on AI engineering role building, deploying, and maintaining production LLM applications on Snowflake — including RAG systems and AI agents — using Python and SQL, with CI/CD pipelines, monitoring, and performance tuning. Production engineering focus, not AI research.
Salary: ₱100,000 – ₱150,000 per month
We’re looking for an AI Engineer / LLM Engineer who can turn AI concepts into reliable, production-ready applications using Snowflake and large language models (LLMs).
This is a hands-on engineering role focused on building, deploying, monitoring, and maintaining production AI systems—not AI research.
🔹 KEY RESPONSIBILITIES
Build, deploy, and maintain production-ready AI applications on Snowflake, including LLM-powered applications, Retrieval-Augmented Generation (RAG), and AI agents.
Translate AI designs and technical direction into scalable, reliable, and monitored production services.
Develop and optimize data preparation workflows, SQL queries, and integrations within Snowflake.
Implement LLM solutions, including prompt management, evaluation, and performance optimization.
Establish and maintain CI/CD pipelines, automated testing, monitoring, and incident troubleshooting for live AI systems.
Collaborate with data scientists and engineering teams to ensure AI solutions meet business requirements and production standards.
Monitor application performance, troubleshoot issues, and continuously improve the reliability and efficiency of deployed AI systems.
🔹 QUALIFICATIONS
3–5 years of experience in AI, Machine Learning, Data Engineering, or Software Engineering.
Strong proficiency in Python and SQL.
Hands-on experience with Snowflake, including data preparation, performance tuning, and integrations.
Proven experience deploying and maintaining production LLM applications, particularly RAG systems and AI agents.
Experience with prompt management, LLM evaluation, testing, CI/CD, monitoring, and troubleshooting live systems.
Strong problem-solving skills and the ability to translate technical requirements into production-ready solutions.
🔹 NICE TO HAVE
Experience with Snowflake Cortex, including Cortex Agents, Search, or Analyst, and/or Snowpark.
Familiarity with LLM evaluation and observability tools.
Experience with traditional ML pipelines, including model deployment, drift monitoring, and retraining.
Exposure to the Microsoft AI ecosystem, such as Azure AI, Power Platform, or Microsoft Copilot.
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