Lead Gen AI Developer

Virtusa; Toronto; On-site; CAD 110,000 - 140,000; Full time

Job summary

A leading technology solutions provider is seeking a Gen AI Lead Developer to build and implement generative AI solutions that enhance operational efficiency. The role requires collaboration with product owners to develop AI models and integrate them into applications. Ideal candidates should have over 12 years of experience in AI-focused software development and a passion for innovation.

Qualifications

• 12+ years of experience in software development with a focus on AI solutions.
• Strong understanding of machine learning and generative AI models.
• Proficiency in programming languages relevant to AI development.

Responsibilities

• Collaborate with product owners and technical leads to understand business requirements.
• Develop and fine-tune generative AI models for specific use cases.
• Integrate AI models into applications and ensure smooth deployment.
• Conduct experiments, evaluate model performance, and implement improvements.

Skills

Generative AI development

Collaboration with stakeholders

Model performance evaluation

Application integration

Job description

We are seeking a Gen AI Lead Developer with 12+ years of experiance. Responsible for building and implementing generative AI solutions that address business challenges and enhance operational efficiency. This role focuses on applying AI models to create innovative applications, automate processes, and deliver intelligent features that align with organizational objectives. The developer will work in a collaborative environment, bridging business needs with technical execution to deliver impactful AI-driven outcomes.

Responsibilities

• Collaborate with product owners and technical leads to understand business requirements and translate them into AI solutions.
• Develop and fine-tune generative AI models for specific use cases.
• Integrate AI models into applications and ensure smooth deployment.
• Work with data teams to prepare and preprocess datasets for training and inference.
• Conduct experiments, evaluate model performance, and implement improvements.
• Document workflows, design decisions, and implementation details for internal knowledge sharing.
• Participate in team meetings, provide updates, and present solutions to stakeholders.
• Support troubleshooting and maintenance of deployed AI solutions.
• Stay informed about emerging AI technologies and contribute ideas for innovation.