What You Will Be Doing:

- Build & Ship AI Based Features – Design, implement, and optimize AI-driven features for the platform, enhancing customer experience and business impact.
- AI-Powered Automation & Tooling – Develop LLM-based internal automation tools to streamline workflows, reduce manual effort, and improve team productivity.
- Scalable AI Infrastructure – Build and maintain a ML/LLM pipeline, ensuring robust, effective, and scalable deployments.
- Performance & Cost Optimization – Improve AI model performance, balancing speed, quality, and infrastructure costs.
- Cross-Functional Collaboration – Work with product, engineering, and data teams to define AI/LLM use cases and share best practices.

What We’re Looking For:

- 5+ years of technical experience: 5+ years of experience as a Backend Software engineer working directly with ML and Gen-AI or similar. Prior startup experience is preferred but not required.
- Strong LLM & ML Expertise:



Experience working with LLM technologies (AWS Bedrock, OpenAI, Anthropic, Hugging Face models, or Llama etc.) in production and proficiency with prompt engineering, model selection, and ML/AI observability.
- Technology Skills: Proficiency in Python, vector databases (FAISS, Pinecone, Weaviate), and retrieval-augmented generation (RAG) pipelines.

Experience with Django, AWS/GCP, and pytest preferred but not required.

- MLOps Experience: Familiarity with AI model deployment, monitoring, and scaling in production environments.
- Problem-Solving Mindset: Ability to tackle ambiguous AI challenges and develop scalable, efficient AI solutions.
- Collaboration & Communication: Comfortable working with engineers, data scientists, and product teams to define and implement AI-driven features.

Infra:

AWS, Fargate, Redis, PostgreSQL, SQS, CDK, Github, retool

📌 Senior Software Engineer, AI Products (Kitchener)
🏢 HRB
📍 Kitchener