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Senior AI Engineer
Zof AI
2 hours ago
Full-time
On-site
East New York, New York, United States
Company Description
Zof AI provides real-time software reliability infrastructure tailored for modern engineering teams navigating the complexities of AI-assisted development, rapid deployments, and distributed architectures. The platform continuously observes software behavior, identifies deviations, and coordinates validation workflows to enhance reliability in real time. By combining autonomous testing, runtime understanding, remediation orchestration, and advanced system intelligence, Zof AI drives continuous software reliability. While automating validation processes, the platform allows humans to define intent, policies, and approval boundaries, ensuring alignment with organizational goals. Headquartered in the Austin, Texas Metropolitan Area, Zof AI is dedicated to advancing software reliability at the speed of modern development. Role Description
This is a full-time, on-site Senior AI Engineer role located in the Austin, Texas Metropolitan Area. The Senior AI Engineer will develop and optimize artificial intelligence algorithms, focusing on pattern recognition, neural networks, and natural language processing (NLP). Responsibilities include researching state-of-the-art AI methodologies, designing scalable software solutions, collaborating with cross-functional teams, and implementing models to enhance Zof AI’s real-time software reliability platform. Qualifications
Strong understanding of Pattern Recognition and Neural Networks technologies Proficiency in Computer Science fundamentals and Software Development methodologies Hands-on experience with Natural Language Processing (NLP) and related AI techniques Proficient in programming languages such as 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
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Zof AI provides real-time software reliability infrastructure tailored for modern engineering teams navigating the complexities of AI-assisted development, rapid deployments, and distributed architectures. The platform continuously observes software behavior, identifies deviations, and coordinates validation workflows to enhance reliability in real time. By combining autonomous testing, runtime understanding, remediation orchestration, and advanced system intelligence, Zof AI drives continuous software reliability. While automating validation processes, the platform allows humans to define intent, policies, and approval boundaries, ensuring alignment with organizational goals. Headquartered in the Austin, Texas Metropolitan Area, Zof AI is dedicated to advancing software reliability at the speed of modern development. Role Description
This is a full-time, on-site Senior AI Engineer role located in the Austin, Texas Metropolitan Area. The Senior AI Engineer will develop and optimize artificial intelligence algorithms, focusing on pattern recognition, neural networks, and natural language processing (NLP). Responsibilities include researching state-of-the-art AI methodologies, designing scalable software solutions, collaborating with cross-functional teams, and implementing models to enhance Zof AI’s real-time software reliability platform. Qualifications
Strong understanding of Pattern Recognition and Neural Networks technologies Proficiency in Computer Science fundamentals and Software Development methodologies Hands-on experience with Natural Language Processing (NLP) and related AI techniques Proficient in programming languages such as 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
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