Gen AI Developer

Virtusa; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A technology consulting firm is seeking an experienced Gen AI Developer to design and implement advanced AI-driven solutions. The role requires 8+ years of experience and focuses on creating intelligent applications that enhance automation and decision-making within enterprise systems. Collaborating with cross-functional teams, the developer will ensure the alignment of AI solutions with business goals and compliance standards.

Qualifications

• 8+ years of experience in AI development.
• Strong understanding of generative AI models and frameworks.
• Proven ability to optimize AI solutions in production.

Responsibilities

• Collaborate with stakeholders to translate requirements into AI solutions.
• Design, develop, and deploy generative AI models.
• Integrate AI components into existing systems.

Skills

Generative AI Frameworks (e.g., OpenAI, Hugging Face, LangChain)

Python Programming

Prompt Engineering

Machine Learning & Deep Learning

Model Deployment (e.g., Docker, Kubernetes)

Retrieval-Augmented Generation (RAG)

Agentic Frameworks

Azure AI Services

Job description

We are seeking a Gen AI Developer 8+ years and plays a pivotal role in designing and implementing advanced AI-driven solutions that leverage generative models to solve complex business challenges. This role focuses on creating intelligent applications that enhance automation, decision‑making, and user experiences across enterprise systems. The developer collaborates with cross‑functional teams to translate business requirements into scalable AI solutions, ensuring alignment with organizational goals and compliance standards. The position is critical for driving innovation and enabling the organization to harness the full potential of generative AI technologies in real‑world scenarios.

Responsibilities

• Collaborate with product owners, architects, and business stakeholders to understand functional requirements and translate them into AI‑driven solutions.
• Design, develop, and deploy generative AI models and frameworks for enterprise applications.
• Integrate AI components into existing systems and ensure seamless interaction with other services.
• Conduct research and experimentation to evaluate new AI techniques and frameworks for potential adoption.
• Optimize AI models for performance, scalability, and cost‑efficiency in production environments.
• Monitor and maintain deployed AI solutions, ensuring reliability and compliance with security standards.
• Document solution architecture, workflows, and operational guidelines for internal teams.
• Participate in agile ceremonies, provide technical insights, and contribute to continuous improvement initiatives.

Skill

• Generative AI Frameworks (e.g., OpenAI, Hugging Face, LangChain)
• Python Programming
• Prompt Engineering
• Machine Learning & Deep Learning
• Model Deployment (e.g., Docker, Kubernetes)
• Retrieval‑Augmented Generation (RAG), Agentic Frameworks, Azure AI Services