Intermediate AI Software Developer

Job Summary

The Intermediate AI Software Developer is fully competent in software implementation, focusing on AI features and functionality for a project.

They are expected to own and improve features in a project, with some supervision.

Duties and Responsibilities

The standard responsibilities for all AI Software Developers include but are not limited to:

• Build and enhance Artificial Intelligence (AI) / Machine Learning (ML) features in projects, which may include Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agent orchestration tools like Strands.
• Develop backend services and pipelines in Python and other languages.
• Integrate cloud services, such as AWS Bedrock, into our AI features.
• Help design and maintain Agent knowledge bases, embedding workflows, and retrieval strategies.
• Provide feedback to the Technical Lead or Project Manager for development schedules.
• Review pull request of other team members, providing feedback when changes are needed.
• Contribute to the risk management activities of the Project Team.
• Contribute to code quality, testing, and documentation for the project.
• Participate in architectural discussions and propose improvements.

Additional responsibilities specific to AI Software Developer - Intermediate include, but are not limited to:

• Own end-to-end delivery of mid-sized AI/ML features, from design to implementation to release, with minimal supervision.
• Break down requirements into technical tasks and milestones.
• Produce technical designs for AI services and agent workflows.
• Evaluate, select, and implement RAG patterns for specific use cases.
• Improve prompt, retrieval, and agent orchestration reliability through the use of guardrails, structured outputs, and tool-use patterns.
• Mentor Junior developers through code reviews and technical guidance.

Authority

• To make implementation and design decisions within assigned feature area, selecting patterns and approaches that align with overall architecture.
• To review and approve pull requests, enforcing coding standards, test coverage expectations, and security considerations.
• To propose and implement improvements to AI workflows and supporting pipelines, within established architectural guardrails.
• To define and maintain technical tasks and estimates for assigned work.
• To recommend tooling and libraries to improve productivity, reliability, or quality.
• To make operational decisions for services they own, in alignment with team processes.

Required skills and abilities

• Strong proficiency in Python, creating clean and maintainable code.
• Understanding of software architecture fundamentals and scalable design.
• Excellent debugging and troubleshooting skills.
• Experience with Git, pull requests, and resolving merge conflicts.
• Experience writing unit tests and working with frameworks like pytest.
• Ability to follow and contribute to coding standards and participate in code reviews.

Preferred skills and abilities

• Interpersonal and mentorship skills.
• AI / Machine Learning Skills: Exposure to Large Language Models (LLMs) and working with model APIs, understanding of Retrieval-Augmented Generation (RAG) concepts, familiarity with embeddings and vector databases, experience with prompt engineering or building LLM-driven features, interest in multi-agent systems or agentic workflows (Strands experience is a plus)
• AWS Cloud Experience: Exposure to AWS Lambda or serverless development, familiarity with AWS Bedrock or LLM-related cloud services, experience with DynamoDB and exposure to relational cloud databases (e.g., Amazon Aurora), basic understanding of Amazon S3, CloudWatch, or IAM concepts, interest in working with AWS serverless and distributed architectures, experience with Terraform or CloudFormation is a bonus
• Nice-to-Have: RDF / semantic data or graph databases, event-driven architecture (SNS, SQS, EventBridge), containerization (Docker, ECS, Kubernetes), experience with production AI/ML

Minimum qualifications and experience

• Bachelor of Science (Computing or Engineering), or equivalent education, training, and/or experience.
• One or more years as a Junior AI Software Developer or equivalent education, training, and/or experience.

Work Location

Hybrid (In-office 3 days per week, subject to change)

Type

full-time, Permanent

Salary

90,000 - 110,000 CAD

This range reflects the minimum and maximum target payable for the base salary of new hires across all Canadian locations. Actual compensation may vary outside this range and is dependent on various factors.