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David Careers

Full Stack AI Engineer - iGaming & Sports AI Platform

Posted today

raphieNorfolk (VA)
Software DevelopersSoftware Publishers

SENIORITY

Senior

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About the role

Help shape the future of AI-powered customer experience in iGaming and Online Sports Betting (OSB) with Raphie's automation platform. About RaphieRaphie is a leading provider of AI-powered customer service tools, specializing in the iGaming and OSB sector. We partner with global operators to deliver intelligent, automated support that enhances player experience and operational efficiency. Our mission is simple — transform how iGaming and OSB businesses engage with their players through fast, scalable, industry-specific AI. We are expanding our U.S. engineering capability to support continued platform development, client integrations, and AI performance excellence across regions.
The Role: This role is primarily a full-stack developer position and will work closely with Raphie's Product, Engineering, and Client Solutions teams to:
  • Deploy and integrate our AI Platform into client environments
  • Build, test, and monitor custom connectors, APIs, and data flows
  • Design and automate evaluation systems to measure and improve AI response quality
  • Contribute to the expansion and continuous innovation of Raphie's platform
This role is ideal for a technically versatile engineer who enjoys working across code, data, and AI quality systems — and who thrives in a fast-moving, high-impact environment.
Key Responsibilities
Platform Development:
  • Build and ship new features and functionality — from initial scoping through to production deployment.
  • Contribute to the expansion of the platform into new capability areas — including new channel types, automation workflows, and AI-driven features.
  • Work closely with the Senior Product Manager and CTO to translate product priorities into well-scoped, high-quality engineering deliverables.
  • Contribute to the continuous improvement of Raphie's platform architecture, code quality, and engineering standards.
  • Client Integration & Engineering
  • Prompt engineering (design and implement client specific prompts)
  • Model selection (evaluation and selection of LLM configurations for client specific context)
  • Build and maintain integrations between Raphie's AI platform and client systems (PAMs, CRMs, ticketing, chat, data APIs, etc.)Support deployment, configuration, and validation of new AI environments for enterprise customers
  • Develop and maintain reusable SDKs, API wrappers, and automation scripts to streamline onboarding
  • Troubleshoot and resolve technical issues in collaboration with the Product and Solutions teamsAI Evaluation & Quality
  • Design and run automated and manual evaluation tests for AI responses (accuracy, tone, latency, compliance)
  • Build dashboards and tools to monitor AI quality and performance across client deployments
  • Partner with the Senior Product Manager to translate evaluation findings into roadmap improvements
  • Collaborate with the AI engineering team to test new model versions and fine-tuning experiments
  • Document findings and maintain clear visibility of performance metrics for internal and client stakeholders
About You: We’re looking for a full-stack engineer who can work comfortably at the intersection of software engineering, applied AI, and client delivery.
Requirements:
  • 4+ years experience in full-stack engineering or MLStrong proficiency in JavaScript/TypeScript (Node.js), with Ruby (Rails) experience a plus
  • Understanding of APIs, data pipelines, and system integrations
  • Familiarity with LLMs or conversational AI platforms (OpenAI, Anthropic, etc.)Experience with evaluation frameworks (precision/recall, prompt-based testing, or human-in-the-loop QA)
  • Strong analytical and troubleshooting skills; ability to debug across systems
  • Excellent communication skills and comfort working across distributed global teams
Bonus / Nice-to-Have:
  • Experience with gaming, sports betting, or high-volume transactional systems
  • Exposure to observability tools or experiment tracking frameworks
  • Interest in applied AI safety, ethics, and model performance evaluation
Why Join:
  • RaphieBe part of the team shaping the future of AI-driven customer service in gaming and sports
  • Work directly with world-class engineers, data scientists, and product leaders
  • Blend hands-on technical work with strategic product impact
  • Competitive U.S. salary, performance incentives, and potential equity participation
  • Hybrid or fully remote work options available within the U.S.
How to Apply: If you’re excited about building the future of AI-powered customer experience, we’d love to hear from you. Apply directly via LinkedIn to start your application.

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