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AltaML

Full Stack Software Engineer (Brilliant Harvest)

Hybrid

Calgary, Canada

Junior

Full Time

07-01-2026

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Skills

Creativity Python C# TypeScript CSS DevOps Docker Kubernetes Azure DevOps Problem-solving Customer Service Architecture git Azure react node.js api testing Postman Agile Recruitment .NET .NET Core Redux Redis Artificial Intelligence Langchain Redux Toolkit

Job Specifications

About Brilliant Harvest
Brilliant Harvest is a fast-growing agtech startup that is redefining how equipment dealerships support their staff and customers. Purpose-built for the ag and construction industries, Brilliant Harvest’s AI-powered platform helps dealership teams find answers faster, save time, reduce downtime, and improve customer service.

Our culture is fast-paced, collaborative, and driven by curiosity. We move quickly, learn constantly, and celebrate progress over perfection.

The Opportunity

We're seeking a Full-Stack Software Engineer with a specialty in data management to join our talented team on our agriculture venture. You will thrive in smaller team environments, possess a hands-on approach, and have the ability to prototype quickly and deliver new features in an agile environment. You will play a crucial role in designing, developing, and implementing cutting-edge software solutions that power our AI product. This is a unique chance to leverage your technical expertise, creativity, and problem-solving skills to drive innovation and shape the future of AI technology.

What You’ll Do:

Design, develop, document, and maintain prototypes and products
Design, develop, document, and maintain ETL tools for data extraction and ingestion and products
Participate in brainstorming, design reviews, code reviews and architecture evolution discussions
Contribute to the analysis of business requirements, prepare design and implementation recommendations, and estimate development effort
Review and comment on the technical feasibility of UI/UX designs
Work collaboratively and professionally in cross functional teams to achieve our goals
Contribute to continuous practice improvements

What You Bring:

4+ years of experience as a full stack developer or backend developer with strong ETL skills
Proficient in C#, with a good knowledge of the .net core ecosystems
Strong Experience with Entity Framework core
Unit and API testing with xUnit, Postman, or others
Working in an agile environment (e.g. Azure DevOps)
Proficient understanding of GIT
Able to write clean, readable, and easily maintainable code
Experience taking an idea from conception to production
Experience developing applications using an LLM API like GPT
Experience with frameworks like LangChain and VectorDBs

Bonus Points:

Experience with Python
Experience with React Native
Experience with Typescript, Redux Toolkit, CSS, Node.js
Experience with Micro Services Architecture
Application caching with Redis Cache
Docker, Kubernetes

Why Join Brilliant Harvest?

Join a proven team led by serial entrepreneur, Remi Schmaltz that has successfully exited 2 previous agriculture companies
The opportunity to contribute to an innovative product team shaping the future of AI used in the large equipment space
A collaborative culture that values growth, learning, and impact
Competitive compensation and benefits

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Company

AltaML is a leading developer of AI-powered solutions. Working with organizations that want to leverage their data using artificial intelligence (AI), AltaML develops solutions that create operational efficiency, reduce risk, and generate new sources of revenue. Through a deep understanding of organizational pain points and challenges, AltaML develops solutions that encompass the entire machine learning (ML) life cycle, from evaluating potential use cases and determining feasibility, to piloting solutions, putting code in... Know more