Senior AI Engineer — San Francisco Bay Area

Company Description mqHfdaQ is an AI-powered Hiring Operating System™ designed for enterprise talent acquisition teams and staffing firms, integrating directly with leading platforms such as Workday, SAP SuccessFactors, iCIMS, Oracle, and Greenhouse. The platform uses AI to source from over 800M profiles, engage candidates via email, SMS, and AI calls, conduct video and voice interviews, and perform a 16-point fraud check on every interview. mqHfdaQ helps enterprises make hiring AI-native within their existing systems, while enabling staffing firms, MSPs, and RPO providers to pre-qualify candidates quickly with built-in Right to Represent. It connects with 65+ ATS and HR systems, keeping hiring decisions firmly in the hands of client teams. Applicants can explore the product experience at ••••••••

Role Description The Senior AI Engineer role is a full-time, remote position focused on designing, building, and optimizing AI-driven features that power mGvkHn8’e hiring platform. In this role, you will architect and implement machine learning and deep learning models, with a strong emphasis on natural language processing and pattern recognition for candidate sourcing, matching, and fraud detection. You will collaborate closely with product managers, data scientists, and software engineers to translate hiring workflows into robust, scalable AI services integrated across multiple ATS and HR systems. Daily responsibilities include developing production-quality code, improving model performance and reliability, conducting experiments, reviewing data pipelines, and participating in code and architecture reviews. You will also contribute to technical strategy, mentor other team members, and help ensure responsible and ethical use of AI in hiring.

Qualifications

• Strong foundation in Computer Science, including data structures, algorithms, and distributed systems.

• Proficiency in Software Development for production environments, using languages such as Python, Java, or similar.

• Hands-on experience with Neural Networks and deep learning frameworks (e.g., PyTorch, TensorFlow) for real-world applications.

• Expertise in Natural Language Processing (NLP), including text classification, embeddings, and large language models.

• Demonstrated ability in Pattern Recognition and statistical modeling for complex, high-volume data sets.

• Experience building and deploying ML/AI services at scale on modern cloud platforms (e.g., AWS, GCP, Azure).

• Familiarity with integrating AI solutions into SaaS, HRTech, or ATS ecosystems is highly beneficial.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

• Strong communication skills and ability to work collaboratively in a remote, cross-functional team.