Tucows Domains is the world’s largest wholesale domain registrar, responsible for maintaining the health, neutrality, and openness of an important—but largely invisible part of the Internet: the domain name system (DNS).
As part of Tucows—one of the world’s largest Internet companies—Tucows Domains has a rich history of helping make the Internet better, operating globally under the Ascio, Enom, Hover and OpenSRS brands.
We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet! Today, over one thousand people from over 20 countries are part of our team.
If this sounds exciting to you, join the herd!
About the Opportunity
We’re looking for a seasoned Senior AI Engineer to join our growing AI team. In this role, you’ll take a leading hand in designing and building innovative AI-powered systems that transform how users interact with our domain-related tools and services.
You’ll set technical direction, guide and mentor engineers, and collaborate cross-functionally to prototype, develop, and deploy intelligent solutions using open-source models and modern infrastructure.
Work Model: Hybrid — 3 days per week in our Toronto office.
What You’ll Do
- Lead the architecture and development of AI-driven features using Python and Golang
- Own end-to-end delivery of LLM-based systems — from prototype to production — with a focus on scalability, reliability, and cost efficiency
- Integrate and fine-tune open-source models (e.g., LLaMA, Mistral, Mixtral) and drive model selection and serving strategies
- Research and champion emerging AI technologies aligned with product vision
- Define and uphold architectural best practices through design and code reviews
- Mentor junior and intermediate engineers, providing technical leadership on complex problems
- Translate AI capabilities and constraints into clear business context for non-technical stakeholders
- Shape responsible AI practices, including safety, privacy, and governance
- Stay current with the open-source AI ecosystem and bring forward relevant innovations
Key Skills & Experience
Core Engineering & Software Architecture
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
- 5+ years of software engineering experience, with recent focus on AI/LLM systems
- Advanced proficiency in Python and Golang
- Strong knowledge of software design patterns (SOLID, DRY, CQRS, Saga, event-driven)
- Deep understanding of the Software Development Life Cycle (SDLC)
- Proven experience building distributed, highly available systems at scale
- Strong system design expertise: APIs, async processing, backpressure, fault tolerance
- Experience with event-driven systems (Kafka, RabbitMQ)
- Strong engineering practices: TDD, CI/CD, code reviews, and technical debt management
- Experience writing and communicating Architecture Decision Records (ADRs)
- Strong knowledge of PostgreSQL, schema design, and query optimization
LLM & AI Application Engineering
- Deep understanding of transformer architectures and inference trade-offs
- Hands-on experience with open-source models (LLaMA, Mistral, Mixtral)
- Experience using tools like Ollama and Hugging Face Transformers
- Familiarity with fine-tuning techniques (LoRA, QLoRA, PEFT)
- Advanced prompt engineering (few-shot, chain-of-thought, structured outputs)
- Expertise in model serving: batching, async pipelines, caching, context optimization
RAG & Knowledge Systems
- Experience designing RAG pipelines end-to-end
- Hands-on experience with vector databases (pgvector, Pinecone, Weaviate)
- Strong understanding of embeddings, chunking, indexing, and re-ranking
- Experience building scalable data pipelines for ingestion and retrieval
Agentic Systems & Tooling
- Experience building multi-agent systems with robust state and failure handling
- Familiarity with Model Context Protocol (MCP) design patterns
- Experience with orchestration frameworks (LangChain, LangGraph)
- Strong understanding of tool use, function calling, and multi-step reasoning
Evaluation, Observability & Production Readiness
- Experience designing LLM evaluation frameworks (e.g., RAGAS, promptfoo)
- Familiarity with observability tools (LangSmith, Helicone, or similar)
- Strong skills in logging, metrics, alerting, and cost tracking for AI systems
Security & Responsible AI
- Understanding of prompt injection and jailbreak mitigation techniques
- Experience with PII detection, redaction, and data minimization
- Familiarity with guardrails, output validation, and content filtering
- Awareness of AI governance and auditability best practices
Infrastructure & Deployment
- Experience with cloud-native deployment (preferably AWS)
- Familiarity with Kubernetes / EKS
- Understanding of GPU inference optimization (quantization, batching, memory trade-offs)
Leadership & Collaboration
- Proven experience mentoring and elevating engineering teams
- Ability to lead ambiguous, complex projects with minimal oversight
- Strong communication skills across technical and non-technical audiences
- Practical, delivery-focused mindset with active engagement in the AI ecosystem
​​The base salary range for this position is $126,090 to $140,100. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits
Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing digital divide, and supporting fairness and equality.
We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.
Tucows and its subsidiaries participate in the E-verify program for all US employees.
Learn more about Tucows, our businesses, culture and employee benefits on our site here.
