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, efficient, 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.
Solid 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

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