AI Forward Deployed Engineer - CRM & Marketing

Hard Rock Digital; United States; Hybrid; USD 85,000 - 113,000; Full time

Benefits offered by this job

Competitive pay

Flexible vacation

Hybrid/Remote work

Global brand backing

Job summary

Hard Rock Digital is seeking an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You will ship production features that drive acquisition, engagement, and retention across sportsbook and casino products, collaborating with CRM, Growth, Data Science, and AI Platform teams.

You’ll work hands-on with agents, prompt engineering, and RAG across customer data, while ensuring responsible gaming and regulatory compliance in every release.

Qualifications

• 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 and strong prompt/system-prompt engineering.
• Familiarity with RAG and vector databases (Pinecone, Faiss, pgvector).
• Strong SQL and knowledge of a modern cloud data warehouse (Snowflake).
• Hands-on CRM/marketing-automation platform experience (Braze preferred).
• Experience with a cloud platform (AWS, GCP, or Azure) and its AI/ML services.

Responsibilities

• Build and ship agentic and generative-AI features for CRM and marketing, from the Python and FastAPI backend to the Next.js frontend.
• Power personalization and decisioning with next-best-offer and audience segmentation from behavioral data.
• Generate and optimize lifecycle content with LLMs while staying on-brand and compliant.
• Model customer lifecycle states and journeys to surface growth levers for retention and LTV.
• Integrate Braze including Canvas and Journey orchestration and sync lifecycle state to user profiles.
• Build data and retrieval foundation: RAG, vector search, and MCP servers over Snowflake and dbt marts.
• Measure impact via attribution, ROAS, and experiments on acquisition and retention.
• Ship reliably in production and evolve with AI/martech advances.

Skills

Python

REST APIs

Microservices

Containerization

LLMs

Prompt engineering

RAG

SQL

Cloud platforms

Kubernetes

Data warehouse

Education

Bachelor's degree in CS or related field

Tools

Anthropic Claude

OpenAI GPT

Amazon Bedrock

Pinecone

Faiss

pgvector

Snowflake

Braze

dbt

React

Next.js

PostgreSQL

Redis

Job description

Location: Canada

What are we building?

Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically.

Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space - ready to join us?

What’s the position?

We're hiring an AI Forward Deployed Engineer to build agentic and generative AI for CRM and Marketing. You'll ship production features, not prototypes, that help us acquire, engage, and retain millions of players across sportsbook, casino, and social casino, working alongside the CRM, Growth, Data Science, and AI Platform teams.

Expect to work hands-on with agents, prompt engineering, and RAG over our customer and product data. Because we operate in a regulated space, responsible gaming and compliance are built into everything you ship.

What you’ll do

• Build and ship agentic and generative-AI features for CRM and marketing, from the Python and FastAPI backend to the 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.

What are we looking for?

• 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 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 (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.

Our stack

• AI and agents: Anthropic Claude and other LLMs, Amazon Bedrock, ADK, n8n, RAG, and MCP
• Data: Snowflake and dbt, with governed warehouse access over MCP
• CRM and martech: Braze, plus Singular, AppsFlyer, and Amplitude
• Application: Python and FastAPI, Next.js and React, PostgreSQL with pgvector, and Redis
• Platform: Kubernetes (EKS) with Helm, OAuth2 and Entra, and GitHub

What’s in it for you?

We offer our employees more than just competitive compensation. Our team benefits include:

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

Roster of Uniques

We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunity employer).