Lead AI Engineer

Requirements

Must have :

We are looking for a Bachelor's degree holder in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline. The ideal candidate will have practical software engineering experience with AI / ML systems or data-driven applications. Proficiency in programming languages such as Python and SQL is essential, along with the ability to quickly learn new languages. You should possess strong knowledge of data platforms, machine learning frameworks, and generative AI tools. Experience in deploying and optimizing ML models in production, as well as a solid understanding of the entire software and AI / ML development lifecycle, is crucial. Familiarity with deploying and scaling containerized distributed systems using tools like Kubernetes is advantageous. Additionally, depth in utilizing LLMs, along with a background in traditional NLP tools, will be beneficial. Knowledge of SOA, Modular Monolith Architecture, and distributed systems for AI training and inference is expected. Familiarity with static analysis, code scanning, and ML-specific monitoring tools is also a plus. You should have a grasp of responsible AI practices, including OWASP Top 10 and OWASP ML Top 10 standards. Lastly, strong collaboration, communication, and problem-solving abilities in cross-functional settings are required.

Responsibilities :

In this role, I will depend on you to develop, maintain, and enhance our AI / ML codebases, services, and APIs, ensuring they are reliable and scalable. You will collaborate with interdisciplinary teams, including engineers, data scientists, and domain experts, to create impactful AI solutions. Your duties will include implementing and supporting AI / ML pipelines for deployment, monitoring, and lifecycle management. You will automate batch inference workflows and integrate AI features into both internal tools and customer-facing products. Writing clean, testable, and well-documented code will be essential to help our team build AI-integrated solutions confidently. You will also be responsible for defining architectural changes that can be executed incrementally while minimizing risk, as well as evolving model governance, monitoring, drift detection, and re-training workflows. Advocacy for security and ethical AI practices will be a part of your role, in compliance with relevant standards.

Company :

While performing the duties of this position, you will generally encounter a moderate work environment without hazardous or unpleasant conditions typical in typical offices. The physical demands of the job include standing, walking, sitting, using hands and fingers for handling or typing, reaching with hands and arms, and speaking or hearing. Occasionally, you may need to lift and / or move items weighing up to 25 pounds. Vision requirements include close vision and the ability to adjust focus. We recognize the importance of fair hiring practices and effective employee selection, and this job description serves as a foundation for our appraisal system and other decisions related to promotion, transfer, layoff, and termination. We have ensured that only essential functions and basic duties are included, leaving peripheral tasks out of this document. While the requirements outlined here represent the minimal standards for the position, the organization reserves the right to assign additional functions and requirements as deemed appropriate. We also stay committed to accommodating individuals with disabilities under the American with Disabilities Act, recognizing that some requirements may be adjusted to enable effective performance without posing undue hardship or risk. Please note that this job description does not create an employment contract; we maintain our status as an at-will employer, and employees may be terminated for any lawful reason.

J-18808-Ljbffr