Note: The job is a remote job and is open to candidates in USA. Hard Rock Digital is focused on becoming the best online sportsbook, casino, and social gaming company in the world. They are seeking an AI Forward Deployed Engineer to build generative AI solutions for their Enterprise functions, automating workflows and enhancing internal tools for Finance, Legal, and HR teams.

Responsibilities

• Build and ship AI features end to end, from the Python and FastAPI backend to the Next.js and React frontend, as internal tools for Finance, Legal, and HR users
• Automate Finance workflows, including reconciliation, reporting and variance analysis, FP&A support, invoice and document extraction, and procurement analysis
• Build contract intelligence for Legal, including clause extraction, redlining support, and obligation and renewal tracking across jurisdictions
• Support the DPO and privacy program, including PII detection and redaction, DSAR automation, records of processing, and retention enforcement
• Build HR tools, including handbook and benefits Q&A, recruiting and onboarding automation, and people-analytics support, with strict bias, fairness, and confidentiality controls
• Build the data and retrieval foundation: document AI, RAG, vector search, and MCP servers over sensitive internal corpora and warehouse data, with grounding, citations, and access controls
• Embed privacy-preserving patterns and human-in-the-loop review (redaction, data minimization, role-based access, audit trails, explainability) into anything that touches regulated or people-impacting decisions
• Help operationalize AI governance and guardrails aligned to ISO 42001, NIST AI RMF, the EU AI Act, and OWASP, and ship securely and reliably in production

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)
• Frontend experience with React or Next.js, since this is a full-stack, end-to-end role
• Hands-on experience integrating LLMs (Anthropic Claude, OpenAI GPT, Amazon Bedrock) and strong prompt and system-prompt engineering, especially for document understanding and extraction
• Familiarity with RAG and experience with vector databases (for example Pinecone, Faiss, or pgvector)
• Demonstrated care with sensitive data: PII handling, redaction, access control, and confidentiality
• Familiarity with at least one enterprise domain: financial processes, contract or legal workflows, data privacy regulations, or HR systems
• Experience with a cloud platform (AWS, GCP, or Azure) and its AI and ML services
• Privacy and AI-governance frameworks (GDPR, CCPA and US state privacy laws, ISO 42001, NIST AI RMF, EU AI Act, SOC 2)
• Document AI or intelligent document processing, and contract, ERP, or HRIS platforms (for example Ironclad, DocuSign CLM, NetSuite, SAP, Workday, BambooHR)
• Experience building explainable, auditable, human-in-the-loop AI for regulated or high-stakes decisions
• Awareness of bias and fairness considerations, especially in HR and people use cases
• Agentic frameworks and automation such as MCP, ADK, or n8n, plus Snowflake and dbt

Benefits

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

Company Overview

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