Senior AI Engineer at ContactMonkey

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI engineering, LLM, Agentic workflows, Multi-agent systems, RAG architectures, Vector stores, Python, Software engineering, System architecture, Prompt engineering, Production-grade systems, Data-driven systems, Agile development, Technical leadership, Orchestration frameworks, Evaluation frameworks

Industry

technology;Information and Internet

Description

Hey there! We’re ContactMonkey 👋 Our mission? To power measurable employee engagement worldwide. And we’d love for you to join us! About the job - AI Engineer Join the Engineering Team, where you’ll help shape and build our agentic future. You’ll work closely with our Product and Engineering Teams, and our Chief Product & Technology Officer (CPTO), to turn vision into reality, partnering with a small, high-impact team to design, prototype, and ship AI-powered capabilities quickly. This role is hands-on and iterative, focused on building production-grade agentic workflows that improve how internal communications are curated, designed, delivered, measured, and orchestrated. Your impact Architectural Ownership: Contribute to the technical vision for our AI layer, driving technology adoption and research initiatives from spike to task breakdown, with a focus on core AI infrastructure to ensure our systems are robust and scalable. Agentic Design & Orchestration: Move beyond simple features to architect and implement robust agentic workflows, multi-agent systems, intelligent system behaviors, and orchestration patterns (e.g., dynamic routing, autonomous agents, feedback loops). Strategic Execution & Experimentation: Operate with autonomy by building and executing against a 3-month strategic roadmap while refining work as you learn. Design and execute different approaches and experimentation frameworks to benchmark model value, measure success, and systematically iterate on prompts and model configurations. Production Ownership & Reliability: Own the reliability and scalability of AI subsystems in production, so our AI layer stays trustworthy as it grows. This includes designing and implementing comprehensive testing strategies that move beyond existing framework, focusing on systematic testing of LLM responses and failure modes. Cross-Functional Partnership: Collaborate closely with Product Management and the CPTO to translate business vision into concrete technical specifications and product-facing or internal workflow automation tools. Lead by Example: Be active within your team and the company. Participate in meetings; volunteer to lead initiatives; escalate questions or issues when necessary. Act as a subject matter expert for complex subsystem troubleshooting, cross-org dependencies, and architectural reviews, including how to structure and maintain documentation (e.g., using agents, markdown, or external Knowledge Bases). Cultural Stewardship: Be a full participant in helping the engineering culture evolve as we grow. About you You hold a Bachelor’s degree (or higher) in Computer Science, Statistics, Mathematics, or Engineering, or equivalent practical experience. 7+ years of professional software engineering experience, including 2+ years building AI/ML or data-driven systems in production SaaS environments You possess deep technical proficiency in AI systems, including handling complex subsystem interactions and dependencies. You've moved LLM work past prototypes into production—thinking through eval frameworks, monitoring output quality, and iterating on prompts based on real-world performance. You understand how to structure LLM calls for reliability: using function calling to ground outputs, testing responses systematically, and designing for failure modes (hallucinations, latency, cost). You have working knowledge of multi-agent orchestration frameworks and RAG architectures, including vector stores. You prioritize a "question first, then answer" approach, thinking critically about problems before committing to a code path. You bring intellectual humility, empathy, and strong listening skills to the team; you lead by example. You are able to work collaboratively and independently. You are comfortable with agile development. You have excellent oral and written communication skills. How you can stand out You have designed and shipped autonomous workflows where LLMs reason across multiple steps, make decisions based on tool outputs, and adapt their behavior based on feedback. You have previous experience working within the email ecosystem or similar high-scale communication platforms. You have a proven track record of rapid prototyping, iterating quickly on features, and leveraging data to pivot when necessary. You act as a catalyst for new engineering principles and tools within your current organization, helping to raise the technical bar for your peers. What we bring to the table 🏥 100% employer-paid benefits + a Health Spending Account from day one 🌎 Work from anywhere in the world for up to 4 weeks 💰 Stock option plan—own a piece of our success 💲 RRSP Group Savings Plan to plan for your future 🏝 Generous vacation package to recharge and relax 📚 Personal development budget to fuel your growth 🧖 One personal day + two volunteering days to give back 🎂 Your Birthday off—celebrate on us! 🍎 Five health days per year to stay at your best 💼 Beautiful downtown Toronto office for hybrid work—fully stocked with all the best snacks Compensation & Work Details Compensation is thoughtfully determined based on your experience, skill set, and alignment with our internal compensation framework and internal equity. We’re always happy to answer questions about compensation throughout the hiring process. This is a net new position for our AI Engineering Team based out of our downtown Toronto office, at King and Spadina. Our team works in the office 3x per week or as needed to promote collaboration Who We Are Imagine being part of a team of brilliant minds, all shaping the future of workplace communication. Here at ContactMonkey, we’re not just sending out traditional emails with our internal comms software; we’re changing the way companies connect and communicate with their people. Brands like IKEA, Roku, KMPG, and countless others are using our solution to transform employee engagement. Our all-in-one platform—featuring a drag-and-drop email builder, engagement tools, and analytics—makes it easy for businesses to create, send, and measure their internal email campaigns directly within Outlook or Gmail. This way, internal communications go from being ignored to binge-worthy, sparking more opens, clicks, and conversations. We’ve been on an explosive growth streak over the past few years, and we’re not slowing down anytime soon. Here’s a bit of what we’re proud of: Ranked by the Globe & Mail as one of Canada’s fastest-growing companies Recognized in 2023, 2024 and 2025 Deloitte Technology Fast 50™ awards for revenue growth over the past four years Recognized in 2023, 2024 and 2025 Deloitte Technology Fast 500™ as one of the fastest-growing companies in North America Raised $55 million Series A financing in 2023 Diversity is our strength At ContactMonkey, we are building diverse products and we need a diverse team to do that. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. We are committed to creating an accessible experience for all candidates. If you require any accommodations or adjustments during the interview process or beyond, please inform us, and we will work with you to ensure the necessary support is in place. We are continually striving to enhance our accessibility practices and welcome any feedback or suggestions on how we can better serve candidates with accessibility. AI Disclosure: We use AI to take notes during our interview. Applications and interviews are reviewed by our Talent Acquisition team. Our applicant tracking system utilizes AI for workflows and hiring process efficiencies.

Responsibilities

You will design, prototype, and ship AI-powered agentic workflows to improve internal communication platforms. You will also own the reliability and scalability of AI subsystems in production while collaborating with product and engineering teams.