What are the responsibilities and job description for the Artificial Intelligence (AI) Engineer position at Sacrum Technologies LLC?
Job Details
At SACRUM Technologies, what we do here changes your WORLD! Come let us make it happen! You won't go wrong- We only believe in building great teams TOGETHER to deliver great results.
Hybrid: Mon through Thursday 4 days in office; 8am-5pm (flexible scheduling). Friday work from home.
We are seeking a skilled AI Engineer with a strong background in Large Language Models (LLMs), a deep understanding of AI concepts, and hands-on experience with the LLM framework. As a member of our team, you will play a pivotal role in designing, developing, and deploying agent-based AI solutions. This role requires leveraging cutting-edge tools and methodologies to enhance performance, accuracy, and scalability, with a particular focus on AI deployment and scaling best practices.
Key Responsibilities:
- Agent-Based Application Development: Develop intelligent, autonomous agents capable of handling complex tasks within AI applications to drive performance and user satisfaction.
- Prompt Engineering: Design and optimize prompt structures to improve the accuracy and relevance of AI outputs, ensuring robust interactions with LLMs.
- LLM Framework Implementation: Implement and fine-tune large language models, utilizing frameworks for optimal response generation, efficiency, and scalability.
- AI Deployment & Scaling: Oversee the deployment and scaling of LLMs in production environments, ensuring effective resource use and high performance under varying workloads.
Requirements:
- LLM Framework Expertise: Proven experience with large language model frameworks, including deployment, fine-tuning, and inference techniques.
- Machine Learning Background: Strong foundation in machine learning principles, particularly as applied to LLMs and agent-based architectures.
- Programming Skills: Proficiency in Python and familiarity with essential AI libraries (e.g., PyTorch, Langchain/Langgraph, Bedrock).
- Deployment and Scalability: Familiarity with deploying and scaling AI solutions in production environments to ensure reliability and efficiency.
