Agentic AI Machine Learning Engineer
Role details
Job location
Tech stack
Requirements
- Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality
benchmarks.
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Experience with semantic search, RAG, and vector databases.
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Experience with prompt engineering and optimization
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Agentic Use Cases: Hands-on experience building and deploying agents in at least one
of the following scenarios:
o Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines,
supply chain optimization, or CRM workflows like Salesforce Agentforce).
o Code Generation/Assistance: Developing or debugging code autonomously
(e.g., similar to Devin AI or GitHub Copilot extensions)., * Versatile software developer: fluency in Python, REST APIs, microservices in public
cloud; some experience with Go, AWS, k8s, java, Scala.
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Builder mentality: Demonstrated experience taking ideas to production., * An academic degree in the relevant field is good to have
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3+ years of commercial experience
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Corresponding level of skills: Java intermediate Machine Learning advanced Scala intermediate Artificial Intelligence advanced
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Language skills: English advanced
Benefits & conditions
Prophecy.ai (aka Prophecy) excels as a high-growth AI data platform startup, ideal for data pros and engineers seeking cutting-edge impact in Toronto's tech scene. Here's the quick pitch: Explosive Growth & Opportunities: Backed by $114M in funding (including a fresh $47M Series B extension in Jan 2025), they've hit 3.5X revenue growth in FY'24 and serve Fortune 500 giants like HSBC and JPMorgan-roles in ML engineering and data pipelines (e.g., Toronto-based) offer $100K-$225K CAD salaries with rapid advancement in a 51-200 person team expanding globally. Supportive, Collaborative Vibe: Employees love the innovative culture-welcoming teams foster teamwork across visual/code/AI tools, with 72% recommending it for the positive outlook and 4.0/5 Glassdoor rating praising leadership's focus on data leadership. Real Autonomy & Learning: Thrive in a fast-paced environment owning AI agent workflows and pipeline builds-67% see strong business outlook, with endless