Senior AI Engineer — Real-time Systems & NLP Innovator

Zof AI; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

Zof AI in Austin, Texas, is seeking a Senior AI Engineer to develop and optimize AI algorithms for real-time software reliability. You will focus on pattern recognition, neural networks, and NLP, and work with cross-functional teams to design scalable solutions.

The role involves researching state-of-the-art AI methods, implementing models, and contributing to a platform that coordinates validation workflows in real time. On-site collaboration and technical excellence are key.

Qualifications

• Strong understanding of pattern recognition and neural networks.
• Proficiency in CS fundamentals and software development methodologies.
• Hands-on experience with NLP and related AI techniques.
• Proficient in Python, Java, or similar.
• Experience working with distributed systems and real-time processing environments.
• Strong analytical thinking and problem-solving skills.
• Master’s or Ph.D. in Computer Science, Artificial Intelligence, or related field is preferred.
• Experience with system reliability, algorithm optimization, and AI-driven software solutions is a plus.

Responsibilities

• Research state-of-the-art AI methodologies and algorithms.
• Design scalable software solutions for real-time AI applications.
• Collaborate with cross-functional teams to implement models.
• Enhance Zof AI’s real-time software reliability platform.

Skills

Pattern Recognition

Neural Networks

NLP

Python

Java

Distributed systems

Real-time processing

Analytical thinking

CS fundamentals

Education

Master’s or PhD in CS/AI

Job description

Zof AI in Austin, Texas, is seeking a Senior AI Engineer to develop and optimize AI algorithms for real-time software reliability. You will focus on pattern recognition, neural networks, and NLP, and work with cross-functional teams to design scalable solutions.

The role involves researching state-of-the-art AI methods, implementing models, and contributing to a platform that coordinates validation workflows in real time. On-site collaboration and technical excellence are key.