AI Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, and deploy production AI agents that plan, utilize tools, and accomplish multi-step tasks across the Brilliant Harvest platform.

• Implement agent orchestration, memory management, tool integrations, safety measures, and human-in-the-loop checkpoints for critical actions.

• Assess agents comprehensively by measuring task success, tool-call accuracy, costs, and latency.

• Create, develop, test, document, and maintain production features for the AI platform, including RAG pipelines and LLM integrations.

• Construct and enhance document ingestion pipelines that encompass parsing, chunking, enrichment, and indexing.

• Investigate quality issues related to agents and answers across tool calls, retrieval, and ingestion to ascertain root causes.

• Develop and uphold evaluation datasets and automated checks, including the use of LLM-as-judge.

• Prototype new LLMs, agent frameworks, and tools, sharing insights that inform model and vendor decisions.

• Engage in brainstorming sessions, design reviews, and code evaluations.

• Write clean, well-tested code while adhering to coding standards and CI/CD practices.

• Utilize AI-first development workflows while critically assessing generated outputs.

• Analyze feature requirements, break down tasks, and provide estimates of effort.

• Collaborate with Product, Data, Design, and QA teams to deliver features aligned with the roadmap.

• Offer technical feasibility insights on AI feature UI/UX designs and integrate them with backend systems.

• Communicate progress, obstacles, and technical trade-offs to both technical and non-technical team members.

• Share knowledge through code reviews, collaborative work, documentation, and demonstrations; assist junior engineers in getting acclimated.

• Mentor team members and guide architectural decisions.

⛳️ Requirements

• Over 3 years of professional software engineering or data science experience, including a minimum of 1 year focused on building AI/ML or LLM-based applications.

• Practical experience in developing LLM agents, including tool calling, multi-step orchestration, and agent frameworks or protocols like MCP.

• Hands-on experience with generative AI and LLMs, such as RAG, embeddings and vector search, or document ingestion, preferably with at least one feature in production.

• Strong expertise in Python, along with working experience in at least one of the following: TypeScript, C# (.NET), or another modern backend language.

• Understanding of API design, microservices, and cloud infrastructure.

• Familiarity with React, React Native, or other contemporary frontend frameworks, and their integration with AI-powered backends is an advantage.

• Experience with prompt engineering best practices and AI-first development tools (e.g., Claude Code or similar) is a significant advantage.

• Exposure to evaluation methodologies for LLM applications and agents, such as test sets, LLM-as-judge, or human review, is a plus.

• Experience in a startup environment is beneficial.

• Knowledge of the agriculture, heavy equipment, or dealership sectors is a strong asset.

• Collaborative mindset: communicate effectively, address blockers promptly, and provide and accept constructive feedback.

🏝️ Benefits

• Remote-first position with a flexible work environment.

• Competitive salary.

• Employee Stock Ownership Plan (ESOP).

• Comprehensive benefits package.

• Collaborative culture that prioritizes growth, learning, and making an impact.