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Lead AI Engineer
Brilliant Harvest Inc.
Calgary, CAN
Full Time
Lead
Today
PythonTypeScriptC#ReactReact NativeRAG
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About the Role
Brilliant Harvest Inc. is seeking a Lead AI Engineer to design and deliver production-ready AI-powered applications for the agriculture platform. This individual contributor role involves mentoring teammates, guiding architectural decisions, and building RAG pipelines, agentic workflows, and document ingestion systems.
Key Skills for This Role
PythonTypeScriptC#ReactReact NativeRAG
Responsibilities
- Design, develop, document, and maintain robust prototypes and scalable production systems with a focus on applied AI/ML, RAG architectures, and agentic workflows
- Build and improve document ingestion pipelines that form the knowledge foundation of the platform, ensuring data enrichment, accuracy, and compliance with manufacturer standards
- Evaluate and integrate LLMs, agent frameworks, and supporting tooling as the frontier model landscape evolves
- Participate in and often lead brainstorming sessions, design reviews, code reviews, and architecture evolution discussions
- Champion coding standards, automated testing, CI/CD practices, and AI first development workflows
- Contribute to the analysis of business requirements, prepare design and implementation recommendations, and provide reliable development effort estimates
- Work collaboratively across Product, Data, Design, and QA teams to drive outcomes aligned with business objectives
- Review and provide feedback on the technical feasibility of UI/UX designs, ensuring seamless integration with backend systems and AI capabilities
- Translate data requirements and AI capabilities into clear, actionable specifications, and communicate technical constraints and tradeoffs to non technical stakeholders
- Provide hands on guidance, mentorship, and knowledge sharing to junior and intermediate engineers
- Promote a 'Systems Thinking' mindset, helping engineers move from writing code to orchestrating AI generated solutions
- Design workflows that use AI to accelerate the growth of junior talent rather than automating them out of the process
Requirements
- 5+ years of professional software engineering or data science experience
- At least 2 years focused on AI/ML systems in production
- Proven track record deploying generative AI, LLMs, RAG architectures, or document ingestion pipelines with data enrichment in a production environment
- Strong proficiency in Python and at least one of: TypeScript, C# (.NET), or a modern backend language
- Experience with React, React Native, or modern frontend frameworks and how they integrate with AI powered backends
- Solid understanding of microservices architecture, API design, and cloud infrastructure
- Demonstrated ability to mentor junior engineers and influence technical direction without formal authority
Full Job Posting
About the Role
- As a Lead AI Engineer, you will play a key individual contributor role in designing and delivering production ready AI powered applications for the Brilliant Harvest platform.
- Combining deep technical expertise with leadership skills, you will mentor teammates, guide architectural decisions, and ensure the delivery of scalable, high quality software solutions.
- Working closely with the VP of AI Engineering and the AI Architect, you will help shape the technical direction of our AI stack — from RAG pipelines and agentic workflows to document ingestion and model integration.
Key Responsibilities
- Design, develop, document, and maintain robust prototypes and scalable production systems, with a focus on applied AI/ML, RAG architectures, and agentic workflows.
- Build and improve document ingestion pipelines that form the knowledge foundation of the platform, ensuring data enrichment, accuracy, and compliance with manufacturer standards.
- Evaluate and integrate LLMs, agent frameworks, and supporting tooling as the frontier model landscape evolves, collaborating with the AI Architect on vendor and model selection.
- Participate in and often lead brainstorming sessions, design reviews, code reviews, and architecture evolution discussions, ensuring best practices and long term technical sustainability.
- Champion coding standards, automated testing, CI/CD practices, and AI first development workflows (e.g., Claude Code or similar agentic tools) to improve velocity and quality.
- Contribute to the analysis of business requirements, prepare design and implementation recommendations, and provide reliable development effort estimates.
- Work collaboratively across Product, Data, Design, and QA teams to drive outcomes aligned with business objectives and the product roadmap.
- Review and provide feedback on the technical feasibility of UI/UX designs, ensuring seamless integration with backend systems and AI capabilities.
- Translate data requirements and AI capabilities into clear, actionable specifications, and communicate technical constraints and tradeoffs to non technical stakeholders.
- Provide hands on guidance, mentorship, and knowledge sharing to junior and intermediate engineers, fostering a culture of learning and innovation.
- Promote a 'Systems Thinking' mindset, helping engineers move from writing code to orchestrating AI generated solutions.
- Design workflows that use AI to accelerate the growth of junior talent rather than automating them out of the process.
Qualifications & Skills
- 5+ years of professional software engineering or data science experience, with at least 2 years focused on AI/ML systems in production.
- Proven track record deploying generative AI, LLMs, RAG architectures, or document ingestion pipelines with data enrichment in a production environment.
- Strong proficiency in Python and at least one of: TypeScript, C# (.NET), or a modern backend language.
- Experience with React, React Native, or modern frontend frameworks and how they integrate with AI powered backends.
- Solid understanding of microservices architecture, API design, and cloud infrastructure.
- Demonstrated ability to mentor junior engineers and influence technical direction without formal authority.
- Experience working in a startup environment is considered a strong asset.
- Experience with agentic workflows, prompt engineering best practices, and AI first development tooling (e.g., Claude Code or similar) is a strong asset.
- Familiarity with the agriculture, heavy equipment, or dealership domain is a strong asset.
What Will Set You Apart?
- You've built in a startup where the roadmap moved under your feet.
- You've taken a research heavy idea and made it survive contact with real users, real data, and real latency and cost budgets.
- You understand that RAG lives or dies on retrieval, not generation.
- You've built evals from scratch, not inherited a dashboard.
Why Join Us?
- Be part of a high performing team led by Remi Schmaltz, an entrepreneur with decades of experience launching and growing agriculture businesses.
- Remote first role with a flexible work environment.
- A front row seat to how AI is changing the way equipment dealers, farmers, and contractors work.
- A collaborative culture that values growth, learning, and impact.
- Competitive compensation, ESOP, and benefits.
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