AI Software Developer - Intermediate

Deltacontrols

Surrey

Hybrid

CAD 90,000 - 110,000

Full time

4 days ago

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Benefits offered by this job

Office parking nearby

Remote work options

Job summary

Delta Intelligent Building Technologies (Canada) Inc. in Surrey, Canada, is hiring an Intermediate AI Software Developer to focus on AI features and project delivery. You will own and improve AI/ML features with some supervision, and contribute to architecture and code quality.

The role emphasizes building backend services in Python, integrating AWS Bedrock, and guiding junior developers, in a hybrid work setting at our Surrey location.

Qualifications

Bachelor of Science in Computing or Engineering or equivalent.
1+ year experience as a Junior AI Software Developer.
Strong Python code quality and testing practices.
Experience with Git, PRs, and code reviews.
Familiarity with AWS Bedrock and cloud services.

Responsibilities

Build and enhance AI/ML features, including LLMs, RAG, and agent workflows.
Develop backend services and pipelines in Python and other languages.
Integrate cloud services such as AWS Bedrock into AI features.
Design and maintain agent knowledge bases and retrieval strategies.
Mentor junior developers through code reviews and guidance.
Contribute to architecture discussions and improve AI pipelines.

Skills

Python

Software architecture

Debugging

Git

Unit testing

Code reviews

Mentorship

Education

BSc in Computing/Engineering

1+ year as Junior AI Software Developer

Tools

AWS Bedrock

Docker

Kubernetes

Terraform

Strands

DynamoDB

Aurora

CloudWatch

IAM

Job description

About Delta Intelligent Building Technologies (Canada) Inc.(formerly known as Delta Controls).

Delta Intelligent Building Technologies (Canada) Inc. (a subsidiary of Delta Electronics) is a leading building controls manufacturer with over 300 partners in more than 80 countries. For over three decades, we have provided innovative building automation solutions for commercial, healthcare, education, and leisure facilities. We delivered the world’s first fully integrated BACnet building solution for HVAC, lighting, and access control.

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)

City: Surrey

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.

Why work for us?

We provide fantastic opportunities to individuals passionate about business and technology. Delta Electronics products are the most energy efficient power products in the industry and our company is perfect for those who want to create, design and build sustainable solutions using massively scalable, big-data architecture, with a strong focus on building automation. Here are some of the Delta perks you’ll receive from day 1!