AI Forward Deployed Engineer - CRM & Marketing

Role overview An online sportsbook, casino, and social casino company is hiring an AI Forward Deployed Engineer to ship production-grade agentic and generative AI features for CRM and marketing. The role focuses on personalization, lifecycle messaging, and acquisition, with responsible-gaming and regulatory compliance built into every shipped feature. It is based in Canada and works alongside CRM, Growth, Data Science, and AI Platform teams.

Responsibilities - Build and ship agentic and generative-AI features from Python and FastAPI backend to Next.js frontend - Power personalization and decisioning, including next-best-offer, recommendations, and value-based segmentation - Generate and optimize lifecycle and marketing content with LLMs, keeping it on-brand and compliant - Integrate deeply with Braze, including Canvas and Journey orchestration and syncing lifecycle state onto user profiles - Build RAG, vector search, and MCP servers over Snowflake and dbt data marts - Model customer lifecycle states and journeys, and surface growth opportunities that move retention and LTV - Measure impact through attribution, ROAS, and treated-versus-holdout experiments

Requirements - 4+ years in software or AI engineering, or a relevant degree - Strong Python with experience building and operating production services (REST APIs, microservices, containers) - Hands-on experience integrating LLMs such as Anthropic Claude, OpenAI GPT, or Amazon Bedrock, with strong prompt engineering - Familiarity with RAG and vector databases such as Pinecone, Faiss, or pgvector - Strong SQL and experience with a modern cloud data warehouse, Snowflake preferred - Hands-on experience with Braze or another CRM or marketing-automation platform - Working understanding of customer lifecycle, segmentation, personalization, and LTV - Cloud platform experience with AWS, GCP, or Azure

Nice to have - Agentic frameworks and automation such as MCP, ADK, or n8n - dbt and analytics-engineering practices, including data-quality testing - Frontend experience with React or Next.js - Kubernetes and Helm, plus OAuth2 and enterprise identity such as Entra - Recommendation systems, marketing attribution, or generative content at scale

Benefits and work setup - Competitive pay and benefits - Flexible vacation allowance - Hybrid or remote working environment - Startup culture backed by a secure, established global brand