The AI Engineer will lead the development of conversational AI systems, optimizing chatbot interactions, and integrating diverse data sources for enhanced user experience.
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!
Top Skills
Cypher
JavaScript
Langgraph
Mlflow
Neo4J
Nextjs
Python
React
Typescript
Vector Databases
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Director, Oncology Early-Stage Clinical Scientist leads clinical research studies in oncology, focusing on the scientific execution and strategic planning of early clinical development for novel drugs.
Top Skills:
JreviewSocs-ProSpotfire
10 Hours Ago
Easy Apply
Easy Apply
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
In this role, you will drive lead generation through cold calling, map enterprise accounts, and support the go-to-market strategy while seeking a career in SaaS sales.
Top Skills:
IotSaaS
10 Hours Ago
Easy Apply
Easy Apply
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The role involves making 30-50 cold calls daily to generate leads for enterprise accounts in a SaaS environment, focusing on technology sales skills and career advancement within the company.
Top Skills:
IotSaaS
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal


