AI Forward Deployed Engineer - CRM & Marketing

Summary

Hard Rock Digital is building an online sportsbook, casino, and social gaming company for millions of consumers, rooted in the Hard Rock and Seminole Tribe of Florida brands. The AI Forward Deployed Engineer will build and ship production agentic and generative AI features for CRM and marketing, including personalization, lifecycle content, customer segmentation, retrieval systems, and experimentation. The role partners with CRM, Growth, Data Science, and AI Platform teams while ensuring responsible gaming and compliance.

Responsibilities

• Build and ship agentic and generative-AI features for CRM and marketing, from the Python and FastAPI backend to the [Next.js](http://Next.js) frontend
• Power personalization and decisioning, including next-best-offer, recommendations, and audience and value-based segmentation from behavioral and LTV signals
• Generate and optimize lifecycle and marketing content with LLMs, keeping it on-brand, localized, and compliant with responsible-gaming rules
• Model customer lifecycle states and journeys, and surface the growth levers that move retention and LTV
• Integrate deeply with Braze, including Canvas and Journey orchestration and syncing lifecycle state onto user profiles
• Build the data and retrieval foundation: RAG, vector search, and MCP servers over our Snowflake and dbt marts
• Measure impact through attribution, ROAS, and treated-versus-holdout experiments on acquisition, retention, and LTV
• Ship reliably in production and keep pace with advances in AI and martech

Skills

• 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 (Anthropic Claude, OpenAI GPT, Amazon Bedrock) and strong prompt and system-prompt engineering
• Familiarity with RAG and experience with vector databases (for example Pinecone, Faiss, or pgvector)
• Strong SQL and experience with a modern cloud data warehouse, Snowflake preferred
• Hands-on experience with a CRM or marketing-automation platform, Braze strongly preferred
• Working understanding of customer lifecycle, segmentation, personalization, and LTV
• Experience with a cloud platform (AWS, GCP, or Azure) and its AI and ML services
• 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 (this role can flex full-stack)
• Kubernetes and Helm, plus OAuth2 and enterprise identity (Entra) for service auth
• Recommendation systems, marketing attribution, or generative content at scale

Qualifications

Must Haves

• 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 (Anthropic Claude, OpenAI GPT, Amazon Bedrock) and strong prompt and system-prompt engineering
• Familiarity with RAG and experience with vector databases (for example Pinecone, Faiss, or pgvector)
• Strong SQL and experience with a modern cloud data warehouse, Snowflake preferred
• Hands-on experience with a CRM or marketing-automation platform, Braze strongly preferred
• Working understanding of customer lifecycle, segmentation, personalization, and LTV
• Experience with a cloud platform (AWS, GCP, or Azure) and its AI and ML services

Nice to Haves

• 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 (this role can flex full-stack)
• Kubernetes and Helm, plus OAuth2 and enterprise identity (Entra) for service auth
• Recommendation systems, marketing attribution, or generative content at scale

Benefits

• Competitive pay and benefits
• Flexible vacation allowance
• A hybrid / remote working environment
• Startup culture backed by a secure, global brand