Job Description

Senior AI Engineer

Vetster (vetster.com) is the world's fastest-growing veterinary telehealth and pet care marketplace. Since our launch in 2020, we have established ourselves as a leader in the rapidly growing pet care industry. Named Pet App of the Year, Vetster makes it easier for pet owners to connect with the veterinary care they need - anytime, anywhere,

We know that by empowering pet owners with easy-to-use, convenient services and an open marketplace, we can move the industry forward, create professional opportunities in the veterinary community, and fundamentally improve animal well-being and access to care. The work we are doing is groundbreaking and is changing lives.

We work in cross-functional teams and believe ownership and accountability, along with trust, respect and inclusion are core tenets of success in our new working paradigm. At all levels, successful Vetster team members are those who seek to grow their careers and who share our ambition to build a global high-growth brand. Please note this role is hybrid, with 2 days per week in our office in midtown Toronto at Yonge and Summerhill.

Join Our Mission

At Vetster, we are building the next generation of marketplace platforms, from connecting vets and pet parents, to getting all important medications quickly to pets. From building out critical architecture, to embracing artificial intelligence in product and internally.

We are seeking a Senior AI Engineer to join our growing team and play a pivotal role in shaping the future of our products and operations. This is a unique, hands-on opportunity to work at the intersection of Generative AI, intelligent agent design, and scalable systems engineering. You will be consulting on high-impact initiatives, from architecting autonomous agents that revolutionize our internal workflows to embedding cutting-edge AI features that will delight our customers to advising on data projects. If you are a passionate engineer who thrives on solving complex problems and wants to build the next generation of AI-powered solutions, we want to hear from you.

Your Impact & Responsibilities

This is more than just a coding role; it's an opportunity to be a technical cornerstone for our products. You will have the autonomy to make a significant impact on our platform, our processes, and our people.

Lead the design, development, and deployment of scalable, enterprise-grade AI solutions, from conceptualization and prototyping to production monitoring and maintenance.
Architect and implement autonomous and semi-autonomous AI agents using frameworks like LangChain, n8n, MCP, A2A, and RAG pipelines to automate complex internal business processes and enhance operational efficiency.
Collaborate closely with product management and engineering teams to integrate cutting-edge generative AI capabilities and intelligent features into our core product offerings, directly enhancing the customer experience.
Serve as a key technical leader and mentor for our engineering teams, providing expert guidance on AI/ML best practices, system architecture, and the practical application of LLM APIs and services.
Engineer and maintain the critical data and context layers for our AI systems, including building robust data pipelines, vector databases, and context retrieval systems to ensure our models are accurate, relevant, and secure.
Develop and champion a set of reusable SDKs, modular APIs, and best-practice patterns for AI development, enabling other teams to build and deploy AI features more rapidly and consistently.
Act as an AI evangelist across the organization, developing and delivering training, workshops, and documentation to empower non-technical departments to effectively leverage LLMs and AI tools.
Own the full lifecycle of AI models in production, implementing MLOps principles for CI/CD, observability, and continuous improvement to ensure our systems are reliable, scalable, and cost-effective.

What You Bring

We're looking for a leader who is excited by our mission and is ready to make an impact. Here's what we think you'll need to be successful:

A minimum of 5+ years of professional experience in a software engineering capacity, with a proven track record of shipping production-grade systems.
At least 2 years of recent, hands-on experience building applications with LLMs, agentic frameworks (e.g., LangChain, LlamaIndex), RAG architectures, and vector databases (e.g., Pinecone, Milvus).
You have a history of leading technical projects, mentoring other engineers, and making critical architectural decisions.
Expert-level proficiency in Python and a strong command of software engineering fundamentals, including data structures, algorithms, and API design.
Experience deploying and operating scalable services in a major cloud environment (AWS, GCP, or Azure) and a strong understanding of modern data engineering principles and tools (e.g., Airflow, Spark, Docker).
You can articulate complex technical ideas to both technical and non-technical audiences with clarity and confidence. You thrive in a collaborative, cross-functional environment.
You are a self-starter with a bias for action, a deep sense of ownership, and a passion for tackling ambiguous, high-impact challenges.
Nice to haves: Portfolio of open source contributions, experience fine-tuning open source LLM's, using real-time streaming technologies like Kafka or Kinesis, and familiarity with IaC tools such as Terraform or Cloudformation

Why Join Us?

Unlimited access to Vetster for your pets.
Dog-friendly office environment.
Generous vacation and personal day policy.
Comprehensive health and dental benefits for you and your family.
Competitive salary with market alignment.
RRSP matching and Employee Stock Option Plan.
Opportunities for career growth and international assignments.
A culture of inclusivity, equity, and team engagement.

Our Hiring Process

We believe in a transparent and respectful hiring process. Here's what you can expect:

Stage 1: Introductory Meeting: This is a 30-minute Google Meet video call with Keltie Neville (People Operations) to share more about the role and Vetster, and learn about you.
Stage 2: Skills Interview: This is a 60-minute Google Meet video interview with Tolga Ercan (Director of Engineering), where he will take you through our Engineering roadmap and learn more about your skills and experience.
Stage 3: In-person Presentation of Assignment and discussion: Vetster HQ (14 Birch Avenue, Toronto.) with Tolga Ercan (Director of Engineering) and members of the engineering team. Prior to the meeting, a work assignment will be given (We will compensate you for your time.)
Stage 4: Coffee meet up with Regan Johnson (CTO)

Ready to Make an Impact?

Embark on a fulfilling journey with us, shaping the future of pet healthcare through design. If you're driven by innovation, collaboration, and a love for pets, apply now to join our mission-driven team. Please note this role is hybrid, with 2 days per week in our office in midtown Toronto at Yonge and Summerhill.

We are committed to providing accommodations for applicants with disabilities. Please let us know if you require any accommodations during the recruitment process.

Vetster

Open Positions

Senior AI Engineer