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.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, productive 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 #J-18808-Ljbffr

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