AI Developer/Prompt Engineer

About the role

Are you looking to thrive in a stimulating work environment?

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.

About the Role

We are seeking AI Developer /Prompt Engineer to contribute to major projects.

The AI Developer lead the design, development, and deployment of advanced AI-enabled solutions in enterprise and cloud environments. This role combines strong software engineering discipline with deep hands-on experience in machine learning, generative AI, and modern AI development platforms. The role will be remote.

Why Join Levio?

- Work on complex, high impact digital transformation projects

- Collaborate with experienced, multidisciplinary teams

- Continuously develop your technical and professional expertise

- Enjoy flexibility, autonomy, and a strong people first culture

- Be part of an organization that values diversity, inclusion, and innovation

Role and Responsibilities

- Architect, develop, and deploy production-grade AI and generative AI solutions aligned with business outcomes

- Lead implementation of NLP, LLM-based applications, predictive models, and intelligent agents

- Build and integrate AI services using AWS Bedrock and AWS SageMaker

- Apply AI-assisted development practices using GitHub Copilot and Claude Code

- Design APIs, microservices, and event-driven integrations

- Establish best practices for model lifecycle management, monitoring, security, and cost optimization

- Provide technical leadership, code reviews, and mentoring

- Ensure AI solutions meet security, privacy, and responsible AI standards

Qualifications and Experience

- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

- 6+ years software development experience, including 3+ years delivering AI solutions

- Expert proficiency in Python and strong backend development experience

- Hands-on experience with TensorFlow, PyTorch, or scikit-learn

- Proven experience with AWS SageMaker and AWS Bedrock

- Familiarity with GitHub Copilot and Claude Code

- Strong cloud-native and microservices architecture experience

Preferred qualifications

- Experience with LLM-based and agentic systems

- Knowledge of MLOps and AI governance

- Experience with vector databases and RAGarchitectures

- Consulting or client-facing delivery experience

Compensation (Ontario)

The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate.