Associate Director, Software Engineering

• Evaluate and select the most suitable generative AI models based on project requirements, including but not limited to RAG, transformer models, and other state-of-the-art techniques
• Design and develop AI applications that leverage generative models to solve specific business challenges, ensuring alignment with user needs and organizational goals
• Implement and integrate various AI technologies, including AI agents and conversational interfaces, to enhance user interaction and functionality within applications
• Work closely with product managers, data scientists, and software engineers to define project requirements, scope, and deliverables, ensuring successful project execution
• Monitor and optimize the performance of AI applications, utilizing metrics and feedback to refine models and improve user experience
• Maintain comprehensive documentation of model selection processes, application development, and performance metrics to facilitate knowledge sharing and project transparency
• Keep abreast of the latest advancements in generative AI and related technologies, applying new insights to enhance our applications and processes

• 10+ years of experience in software development, with a strong knowledge on solution architecture
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
• 3+ years of experience in developing AI applications, with a focus on generative AI and related technologies
• Proficiency in programming languages such as Python, and familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Hugging Face Transformers)
• Strong understanding of generative AI models, RAG, and AI agents, with practical experience in implementing these technologies in real-world applications
• Experience with software development practices, including version control (Git), testing, and agile methodologies
• Strong analytical and problem-solving abilities, with a focus on delivering practical solutions that meet business needs
• Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders
• Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI applications
• Familiarity with data engineering concepts and tools for managing data pipelines
• Contributions to open-source projects or involvement in AI/ML communities

Contributions to open-source projects or involvement in AI/ML communities

• Equal opportunity employer
• Inclusive and diverse work environment
• Continuous professional development
• Flexible working opportunities