AI Forward Deployed Engineer - CRM & Marketing

Hard Rock Digital•United States, FL

About The Position

Hard Rock Digital is hiring an AI Forward Deployed Engineer to build and ship production agentic and generative AI features for CRM and marketing. The role supports customer acquisition, engagement, and retention across sportsbook, casino, and social casino, collaborating with the CRM, Growth, Data Science, and AI Platform teams. Work includes hands-on development with agents, prompt engineering, and retrieval-augmented generation (RAG) over customer and product data. Responsible gaming and compliance are integral to all work in this regulated environment. The position spans backend development with Python and FastAPI and frontend work with Next.js, along with personalization and decisioning, lifecycle content generation, customer journey modeling, Braze integrations, data and retrieval infrastructure, and experimentation to measure business impact. The role also involves deploying and operating production systems while keeping current with AI and marketing technology advances. The company describes a hybrid or remote working environment and offers competitive pay and benefits, a flexible vacation allowance, and a startup culture backed by a secure global brand. Hard Rock Digital emphasizes an inclusive workplace where employees can be authentic and bring their talents to work.

Requirements

At least 4 years of experience in software or AI engineering, or a relevant degree.
Strong Python skills and experience building and operating production services, including REST APIs, microservices, and containers.
Hands-on experience integrating LLMs such as Anthropic Claude, OpenAI GPT, or Amazon Bedrock, along with strong prompt and system-prompt engineering skills.
Familiarity with RAG and experience with vector databases such as Pinecone, Faiss, or pgvector.
Strong SQL skills and experience with a modern cloud data warehouse; Snowflake is preferred.
Hands-on experience with a CRM or marketing-automation platform; Braze is strongly preferred.
Working understanding of customer lifecycle, segmentation, personalization, and LTV.
Experience with a cloud platform such as AWS, GCP, or Azure and its AI and ML services.

Nice To Haves

Experience with agentic frameworks and automation such as MCP, ADK, or n8n.
Experience with dbt and analytics-engineering practices, including data-quality testing.
Frontend experience with React or Next.js; the role can flex full-stack.
Experience with Kubernetes and Helm, plus OAuth2 and enterprise identity (Entra) for service authentication.
Experience with recommendation systems, marketing attribution, or generative content at scale.

Responsibilities

Build and ship production agentic and generative AI features for CRM and marketing, including Python and FastAPI backend services and Next.js frontend features.
Develop personalization and decisioning capabilities, including next-best-offer, recommendations, and audience and value-based segmentation using behavioral and lifetime value (LTV) signals.
Generate and optimize lifecycle and marketing content with LLMs, ensuring it is on-brand, localized, and compliant with responsible-gaming rules.
Model customer lifecycle states and journeys, and identify growth levers that influence retention and LTV.
Integrate with Braze, including Canvas and Journey orchestration, and sync lifecycle state to user profiles.
Build data and retrieval foundations, including RAG, vector search, and MCP servers over Snowflake and dbt marts.
Measure impact through attribution, return on ad spend (ROAS), and treated-versus-holdout experiments involving acquisition, retention, and LTV.
Ship reliably in production and keep pace with advances in AI and marketing technology.