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3Pillar Global

AI Engineer, Generative & Conversational Systems

Sorry, this job was removed at 04:07 p.m. (EST) on Thursday, Nov 27, 2025
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Remote
Hiring Remotely in Canada
Remote
Hiring Remotely in Canada

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This is a senior-level, applied AI role for a resourceful and creative engineer who will build, deploy, and refine our consumer-facing AI applications. The successful candidate will lead the development of conversational AI agents and other generative systems that will help redefine how users interact with solutions with AI features. This is a chance to move beyond prototyping to building reliable, production-grade solutions.

Key Responsibilities:

  • Lead the development and improvement of the agentic chatbot, including merging different chatbot architectures.
  • Develop intuitive and efficient applications where AI interactions provide value and enhance the user experience.
  • Lead the evaluation of the AI chatbot by creating and running test suites, capturing performance metrics, and comparing results against baseline tools and grounded truths.
  • Enhance chatbot accuracy by implementing new logic (e.g., converting natural language into Cypher queries) and refining prompts.
  • Optimize prompts and manage context for AI interactions by agents and humans.
  •  Research and implement solutions to overcome platform limitations and integrate a mix of data sources including vector and graph databases.
  • Intergrade and utilize observability tools like MLflow to monitor, debug, and optimize LLM token usage and Lang Graph calls.

Minimum Qualifications:

  • Bachelor’s degree in computer science or software engineering with a thorough understanding of CS fundamentals and theory relevant to application development.
  • Proficient in building agentic systems and multi-tool chatbots using frameworks like LangGraph.
  • Practical experience with AI/LLM development, particularly with chatbots, RAG and agentic systems.
  • Solid JavaScript/Typescript programming skills and experience with frameworks such as ReactJS and NextJS.
  • Solid Python programming skills and experience with data-intensive applications.
  • Strong background in designing and executing evaluation frameworks for AI and LLM-based systems.
  • Resourceful and proactive approach to technical research and problem-solving.
  • Experience with vector databases and their integration.
  • Experience with graph databases systems such as Neo4j/Cypher is an asset.
  • Proficiency in the English language.

What is it like working for 3Pillar Global?

  • At 3Pillar, we offer a world of opportunity:
  • Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.
  •  You will be part of a global team, learning from top talent around the world and across cultures, speaking English every day. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. 
  • We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
  • Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
  • We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.
  •  Join us and be a part of a global tech community! Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam! 

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

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