AI Engineer 2

AI Engineer II

Job Summary:

The AI Engineer II will play a critical role in advancing our organization's artificial intelligence capabilities, focusing on natural language processing (NLP) and machine learning (ML). This position involves designing, developing, and deploying innovative AI solutions, including large language models (LLMs) and agentic AI systems that enhance user experiences and drive business outcomes.

Key Responsibilities:

• Develop and implement advanced NLP algorithms to analyze, interpret, and generate human language data.
• Design and build scalable machine learning models, particularly leveraging large language models for various applications.
• Create and maintain fast API frameworks for efficient deployment and integration of AI services.
• Collaborate with cross-functional teams to gather requirements and produce actionable AI solutions that meet business needs.
• Optimize existing AI models and architectures for performance and scalability in production environments.
• Conduct comprehensive testing, validation, and debugging of AI systems to ensure reliability and accuracy.
• Stay updated on trends and developments in AI technology, particularly in NLP and ML fields.

Requirements:

• Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree preferred.
• 2-5 years of hands-on experience in developing NLP and machine learning models.
• Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, or similar frameworks.
• Strong familiarity with large language models and agentic AI principles.
• Experience in building and consuming APIs, particularly using FastAPI or similar technologies.
• Solid understanding of data structures, algorithms, and software design principles.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying AI solutions in a cloud environment.
• Familiarity with database management systems and data warehousing concepts.
• Knowledge of reinforcement learning techniques and their application in AI systems.
• Contributions to open-source projects or published research in NLP or machine learning.

Benefits:

• Flexible work hours and remote work options to promote work-life balance.
• Continuing education and professional development opportunities.
• Collaborative and inclusive company culture promoting diversity and innovation.
• Access to cutting-edge technology and resources to enhance job performance.