AI / Agent Engineer
Toronto, ON · On-site
As an AI / Agent Engineer - an "AI Builder" - you will join a highly motivated and experienced team ... You will craft the MCP servers, tools, skills and graph-RAG pipelines that make documents ...
AI / Agent Engineer
Toronto, ON · On-site
As an AI / Agent Engineer - an "AI Builder" - you will join a highly motivated and experienced team ... You will craft the MCP servers, tools, skills and graph-RAG pipelines that make documents ...
AI Engineer
Toronto, ON · On-site
CA$130K - CA$165K/yr
What We Need We're looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines ...
AI Engineer
Toronto, ON · On-site
CA$130K - CA$165K/yr
What We Need We're looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines ...
AI Developer II
Toronto, ON · On-site
Understanding of generative AI, LLMs, prompt engineering, RAG patterns, semantic search, and AI ... orchestration concepts. * Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI)
AI Developer II
Toronto, ON · On-site
Understanding of generative AI, LLMs, prompt engineering, RAG patterns, semantic search, and AI ... orchestration concepts. * Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI)
Understanding of generative AI, LLMs, prompt engineering, RAG patterns, semantic search, and AI ... orchestration concepts. * Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI)
Understanding of generative AI, LLMs, prompt engineering, RAG patterns, semantic search, and AI ... orchestration concepts. * Experience with Databricks AI Tools (Agent Bricks, GenieAI, MosaicAI)
Multi-agent (Agentic AI), LLMops, MCP, langchain, langGraph, RAG, Qdrant, Python * ML models ... Working knowledge of DevOps, task boards, pipelines, etc. * Experience with headless content ...
Quick apply
Multi-agent (Agentic AI), LLMops, MCP, langchain, langGraph, RAG, Qdrant, Python * ML models ... Working knowledge of DevOps, task boards, pipelines, etc. * Experience with headless content ...
Full Stack Engineer
Toronto, ON · On-site
You will work as part of a collaborative DevOps team, delivering production-ready solutions while ... Build LLM-based solutions, including AI agents, Retrieval-Augmented Generation (RAG), and multi ...
Full Stack Engineer
Toronto, ON · On-site
You will work as part of a collaborative DevOps team, delivering production-ready solutions while ... Build LLM-based solutions, including AI agents, Retrieval-Augmented Generation (RAG), and multi ...
Senior AI/Data Developer, TD Securities
Toronto, ON · On-site
CA$125K - CA$156K/yr
We are looking for an Developer based in Toronto to join our team and help deliver scalable, modern ... Design and implement Retrieval-Augmented Generation (RAG) architectures and vector-based search ...
Senior AI/Data Developer, TD Securities
Toronto, ON · On-site
CA$125K - CA$156K/yr
We are looking for an Developer based in Toronto to join our team and help deliver scalable, modern ... Design and implement Retrieval-Augmented Generation (RAG) architectures and vector-based search ...
Military/Veteran Mental Health Experts - Remote
Toronto, ON · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
Quick apply
Military/Veteran Mental Health Experts - Remote
Toronto, ON · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
Military/Veteran Mental Health Experts - Remote
Ottawa, ON · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
Quick apply
Military/Veteran Mental Health Experts - Remote
Ottawa, ON · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
Mental Health Expert - Remote
Toronto, ON · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
Quick apply
Mental Health Expert - Remote
Toronto, ON · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
Mental Health Expert - Remote
Ottawa, ON · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
Quick apply
Mental Health Expert - Remote
Ottawa, ON · Remote
$200 - $350/hr
You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...
AI Engineer
Brampton, ON · On-site
Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies-selecting the ... Implement LLM integration layers-prompt engineering, function calling, structured output parsing ...
AI Engineer
Brampton, ON · On-site
Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies-selecting the ... Implement LLM integration layers-prompt engineering, function calling, structured output parsing ...
Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques ... Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories ...
Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques ... Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories ...
Gen AI Engineer
Toronto, ON · On-site
... and implementing complex RAG and Agentic AI architectures. Requirements Key Requirements ... Infrastructure & DevOps: Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ...
Gen AI Engineer
Toronto, ON · On-site
... and implementing complex RAG and Agentic AI architectures. Requirements Key Requirements ... Infrastructure & DevOps: Experience with DevOps, CI/CD pipelines, and ML pipelines within the AWS ...
Senior AI Engineer
Brampton, ON · On-site
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office ... Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies--selecting ...
Quick apply
Senior AI Engineer
Brampton, ON · On-site
We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office ... Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies--selecting ...
Senior AI Engineer
Brampton, ON · On-site
Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies-selecting the ... Implement LLM integration layers-prompt engineering, function calling, structured output parsing ...
Senior AI Engineer
Brampton, ON · On-site
Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies-selecting the ... Implement LLM integration layers-prompt engineering, function calling, structured output parsing ...
Senior Full Stack Engineer
Toronto, ON · On-site
Senior Full-Stack Engineer, AI Platform The Opportunity Chubb's AI Platform team is building an enterprise AI platform that powers RAG-based search, document intelligence, and AI-assisted workflows ...
Senior Full Stack Engineer
Toronto, ON · On-site
Senior Full-Stack Engineer, AI Platform The Opportunity Chubb's AI Platform team is building an enterprise AI platform that powers RAG-based search, document intelligence, and AI-assisted workflows ...
AI Engineer
Toronto, ON · Hybrid
RAG systems (advanced retrieval + evaluation) * LLM evaluation methodologies (golden sets, regression testing) * Prompt engineering at API level * Agent architectures (ReAct, tool calling, planning ...
AI Engineer
Toronto, ON · Hybrid
RAG systems (advanced retrieval + evaluation) * LLM evaluation methodologies (golden sets, regression testing) * Prompt engineering at API level * Agent architectures (ReAct, tool calling, planning ...
Tech Lead, AI Engineering
Toronto, ON · Hybrid
CA$75K - CA$141K/yr
Builds and optimizes RAG pipelines , including embeddings, vector databases, and retrieval ... Develops and applies Context engineering and Prompt engineering strategies , evaluation frameworks ...
Tech Lead, AI Engineering
Toronto, ON · Hybrid
CA$75K - CA$141K/yr
Builds and optimizes RAG pipelines , including embeddings, vector databases, and retrieval ... Develops and applies Context engineering and Prompt engineering strategies , evaluation frameworks ...
AI Engineer
Toronto, ON · On-site
RAG systems (advanced retrieval + evaluation) * LLM evaluation methodologies (golden sets, regression testing) * Prompt engineering at API level * Agent architectures (ReAct, tool calling, planning ...
Quick apply
AI Engineer
Toronto, ON · On-site
RAG systems (advanced retrieval + evaluation) * LLM evaluation methodologies (golden sets, regression testing) * Prompt engineering at API level * Agent architectures (ReAct, tool calling, planning ...
Rag Developer information
What is the difference between Rag Developer vs Textile Technician?
| Aspect | Rag Developer | Textile Technician |
|---|---|---|
| Credentials | Typically requires a diploma or degree in textiles or related field | Requires similar qualifications, often with additional certifications in textile testing |
| Work Environment | Factories, textile mills, production plants | Laboratories, quality control departments, manufacturing facilities |
| Industry Usage | Used in textile manufacturing to develop and process rags for reuse or recycling | Involved in testing, quality assurance, and technical support in textile production |
Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.
What are popular job titles related to Rag Developer jobs in Ontario?
For Rag Developer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Ontario look for?
The top searched job categories for Rag Developer jobs in Ontario are:
Full-time
Posted 10 days ago
Job description
Technology is foundational to all of Appnovation's offerings, from consulting to digital innovation, to digital product and service creation. The technology department is focused on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms.
Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle, a drive for creativity, a passion for the craft, and collaboration with other disciplines - all foundational ingredients in successful digital experiences and client partnerships.
As an AI / Agent Engineer - an "AI Builder" - you will join a highly motivated and experienced team at the core of every pod, building and evolving the agentic layer of our platform. You will craft the MCP servers, tools, skills and graph-RAG pipelines that make documents intelligible to multiple large language models, and partner with product, data and QA to continuously raise answer quality and factual grounding. We are looking for people who bring a strong, solution-focused mindset, thrive amid fast-moving AI tooling, and get things done.
KEY RESPONSIBILITIES- Build and evolve MCP servers, tools, and skills that expose the platform to multiple LLMs (e.g., Claude, Gemini).
- Design and refine the graph-RAG pipeline that transforms documents into agent-friendly representations of facts, entities, and relationships.
- Implement retrieval across multiple tiers (source document, vector-RAG, dense graph) and temporal replay.
- Partner with QA on eval-driven improvements to answer quality and factual grounding.
- Write clean, well-tested, production-grade code and participate in code reviews.
- Collaborate closely with product, data, and QA in an agile/sprint model.
- Document designs, prompts, and tool interfaces for maintainability and handover.
- Monitor deployed agents/models, troubleshoot issues, and iterate on performance.
- Stay current with the fast-moving LLM/agent tooling landscape.
- Bachelor's Degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of experience in software engineering, with 2+ years in AI/ML or LLM-based applications.
- Strong Python, with hands-on experience in LLM application development and agentic patterns.
- Direct experience building MCP servers, tools, and skills.
- Experience with RAG and graph-RAG systems, vector databases, and embeddings.
- Familiarity with graph data stores (Neo4j and/or Postgres/Supabase-based graph implementations).
- Comfortable working against multiple LLM providers (e.g., Claude, Gemini).
- Solid software engineering fundamentals: version control (Git), testing, and CI/CD.
- Strong problem-solving and communication skills, with the ability to work independently in ambiguity.
- You think about how to scale, automate and operate, not just how to build a solution to an immediate problem
- You understand lean thinking
- You set high standards for code quality, performance/scalability and security and seek continuous improvement
- You have solid analytical, problem solving and decision-making skills
- You have customer first mindset and a devotion to customer service
- You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities
- You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization
- You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs
- You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies
- You have prior experience in consulting
- Prior experience and connections in the Life Sciences industry is preferred