Intelligent Automation Developer (Azure or GCP)

Ashling•Toronto, ON

3d•CA$80,000 - CA$100,000

About The Position

We are expanding our team and hiring for multiple Intelligent Automation Developers. We welcome candidates with deep expertise in either Microsoft Azure or Google Cloud Platform (GCP) as we build out a balanced team across both ecosystems. As a consultant, you will independently lead client-facing initiatives, serving as a trusted technical advisor during project discovery and design sessions. You will bring a strong consultant presence, bridging the gap between technical execution and business strategy by translating complex AI/cloud concepts into clear, value-driven conversations for business stakeholders. Your responsibilities will include designing and building cloud solutions leveraging the latest AI and ML capabilities available from major cloud providers. You will collaborate with engineers to efficiently implement algorithms within existing production processes, assist in establishing design and coding standards, testing pipelines, policies, and procedures across development efforts, and provide recommendations on improving team efficiency from a code reusability standpoint.

Requirements

Bachelor’s degree in Computer Science or an engineering discipline.
Proven experience implementing LLM capabilities into cloud solutions.
Experience with CI/CD pipelines and repository management using Azure DevOps.
Interest in the intelligent automation market and cloud infrastructure technologies.
Option A: Azure Track: 2 to 4 years of .NET / C# development experience.
Option A: Azure Track: Hands-on experience with Microsoft Azure.
Option B: GCP Track: 2 to 4 years of Python development experience.
Option B: GCP Track: Hands-on experience with Google Cloud Platform (GCP).
Option B: GCP Track: Experience with Gemini models via Vertex AI and agentic AI solutions (Google Agent Development Kit / ADK).
Option B: GCP Track: Designing and deploying serverless architectures on GCP (Cloud Run, Cloud Functions, Pub/Sub).
Familiarity with agent interoperability protocols (MCP, Agent2Agent/A2A).
Experience in statistics or numerical methods.
Exceptional interpersonal skills with the ability to build trust with external client teams, navigate client dynamics, and confidently lead conversations.
Ability to speak to the "business side of things," connecting technical execution to business outcomes, ROI, and process efficiency.
Eager to stay on top of emerging cloud and AI technologies.
Strong analytical and problem-solving skills.
Ability to work independently with minimal oversight while providing recommendations for operational efficiency.

Nice To Haves

LLM evaluation frameworks (e.g., Azure AI Foundry evaluation, Ragas).
RAG pipelines using Azure AI Search or vector databases.
Intelligent Document Processing using Azure AI Document Intelligence or other OCR tools.
Low-code automation using Power Platform.
LLM evaluation frameworks (e.g., Vertex AI Evaluation, Ragas).
RAG pipelines using Vertex AI Search or vector databases.
Intelligent Document Processing using Google Document AI or other OCR tools.
Low-code and analytics tools (Google AppSheet, BigQuery).

Responsibilities

Participate in design sessions with external clients and project leads to provide technical direction on design considerations for development, performance, scalability, availability, maintainability, and reusability.
Engage directly with external clients, holding confident, business-focused discussions to understand their needs and articulate the strategic and functional value of proposed automation and AI solutions.
Explain technical architectures, trade-offs, and LLM implementation details in clear, accessible terms for non-technical and business stakeholders.
Leverage numerical methods and testing algorithms for evaluating LLM performance for different use cases.
Collaborate with engineers to implement algorithms efficiently within existing production processes.
Assist with design and coding standards, testing pipelines, policies, and procedures across development efforts.