
Artificial Intelligence Engineer for Large Language Model Development
7 hours ago
Overview
The role of an AI System Architect is to design, develop and deploy large language models (LLMs) using cutting-edge techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
Key Responsibilities:
- Model Development and Optimization
- Design, train, fine-tune, and deploy LLMs to achieve optimal performance.
- Leverage advanced techniques like prompt engineering, RAG, and agent-based architectures to enhance model capabilities.
- Develop and maintain high-quality, efficient code in Python, utilizing frameworks like LangChain/LangGraph, and SQL.
- Focus on reusable components, scalability, and performance best practices.
- Assist in deploying GenAI applications on cloud platforms such as Azure, GCP, or AWS.
- Optimize resource usage and ensure robust CI/CD processes.
- Work closely with product owners, data scientists, and business SMEs to deliver impactful AI products.
- Provide technical leadership and knowledge-sharing to the engineering team.
- Stay up-to-date with the latest advancements in LLM research and generative AI.
- Propose and experiment with emerging techniques to drive ongoing improvements in model performance.
Requirements:
- 5+ years of professional experience in building Machine Learning models & systems.
- 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
- Experience in driving the engineering team toward a technical roadmap.
- Expert proficiency in programming skills in Python, Langchain/Langgraph, and SQL.
- Understanding of Cloud services, including Azure, GCP, or AWS.
- Excellent communication skills to effectively collaborate with business SMEs.
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