AI Engineer

🔥 5 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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AltaML

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $3.3M Grant on 2020-07

Consulting • Healthcare • Logistics

AltaML is a company specializing in artificial intelligence solutions across various industries such as energy and resources, financial services, and health. They focus on transforming data into actionable insights and providing AI-driven solutions to improve efficiency, reduce costs, and optimize processes. With a comprehensive suite of AI services, AltaML guides organizations through the entire machine learning lifecycle from feasibility assessments to production deployment. They are known for their strategic partnerships and rapid, impactful results, helping companies unlock the potential of their data and drive innovation.

📋 Description

• Design, build, and ship production AI agents that plan, use tools, and complete multi-step tasks across the Brilliant Harvest platform • Implement agent orchestration, memory, tool integrations, guardrails, and human-in-the-loop checkpoints for high-stakes actions • Evaluate agents end to end, measuring task success, tool-call accuracy, cost, and latency • Design, develop, test, document, and maintain production features for the AI platform, including RAG pipelines and LLM integrations • Build and improve document ingestion pipelines covering parsing, chunking, enrichment, and indexing • Investigate agent and answer-quality issues across tool calls, retrieval, and ingestion to identify root causes • Build and maintain evaluation datasets and automated checks, including LLM-as-judge • Prototype new LLMs, agent frameworks, and tooling, and share findings informing model and vendor decisions • Participate in brainstorming, design reviews, and code reviews • Write clean, well-tested code and follow coding standards and CI/CD practices • Use AI-first development workflows while critically reviewing generated output • Analyze feature requirements, break work into tasks, and provide effort estimates • Collaborate with Product, Data, Design, and QA teams to deliver roadmap-aligned features • Provide technical feasibility input on AI feature UI/UX designs and integrate them with backend systems • Communicate progress, blockers, and technical tradeoffs to technical and non-technical teammates • Share knowledge through code reviews, pairing, documentation, and demos; help junior engineers get up to speed • Mentor teammates and guide architectural decisions

🎯 Requirements

• 3+ years of professional software engineering or data science experience, including at least 1 year building AI/ML or LLM-powered applications • Practical experience building LLM agents, including tool calling, multi-step orchestration, and agent frameworks or protocols such as MCP • Hands-on experience with generative AI and LLMs, such as RAG, embeddings and vector search, or document ingestion, ideally with at least one feature in production • Strong proficiency in Python, plus working experience with at least one of: TypeScript, C# (.NET), or another modern backend language • Working knowledge of API design, microservices, and cloud infrastructure • Familiarity with React, React Native, or other modern frontend frameworks, and how they integrate with AI-powered backends, is an asset • Experience with prompt engineering best practices and AI-first development tooling (e.g., Claude Code or similar) is a strong asset • Exposure to evaluation methods for LLM applications and agents, such as test sets, LLM-as-judge, or human review, is an asset • Experience working in a startup environment is an asset • Familiarity with the agriculture, heavy equipment, or dealership domain is a strong asset • Collaborative approach: communicate clearly, raise blockers early, and give and receive feedback constructively

🏖️ Benefits

• Remote-first role with a flexible work environment • Competitive compensation • ESOP • Benefits • Collaborative culture that values growth, learning, and impact

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