Principal GenAI Engineer: Lead RAG & LLM Deployments

Micasa Global

United States

On-site

USD 180,000 - 240,000

Full time

14 days+
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Job summary

Micasa Global is hiring a Principal GenAI Engineer to lead enterprise GenAI initiatives for Fortune 500 clients. You will architect RAG-based solutions and scalable LLM deployments, driving production-grade AI products.

Applicants should have 8+ years in ML/AI systems and 2+ years with LLMs, with strong Python, LangGraph, SQL, and cloud experience across AWS, Azure, and GCP. You will mentor peers and own code quality in fast-moving projects.

Qualifications

  • 8+ years of experience in ML/AI systems.
  • 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering).
  • Strong proficiency in Python, LangGraph, and SQL.
  • Experience deploying GenAI systems on AWS / Azure / GCP.
  • Develop and optimize LLM-based solutions: prompt engineering, retrieval‑augmented generation (RAG), and agent‑based architectures.
  • Codebase ownership: Python (LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance.
  • Cloud integration: deployment on Azure, GCP, or AWS with robust CI/CD processes.
  • Cross‑functional collaboration with product owners, data scientists, and business SMEs.

Responsibilities

  • Lead the design and deployment of large language models.
  • Build scalable, production-grade GenAI applications.
  • Mentor engineers and share ML best practices.
  • Collaborate with product and data science teams to define requirements.
  • Ensure robust CI/CD and cloud deployment practices.

Skills

Python
LangGraph
SQL
LangChain
AWS
Azure
GCP

Tools

LangChain
CI/CD

Job description

Micasa Global is hiring a Principal GenAI Engineer to lead enterprise GenAI initiatives for Fortune 500 clients. You will architect RAG-based solutions and scalable LLM deployments, driving production-grade AI products.

Applicants should have 8+ years in ML/AI systems and 2+ years with LLMs, with strong Python, LangGraph, SQL, and cloud experience across AWS, Azure, and GCP. You will mentor peers and own code quality in fast-moving projects.

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