conduet · 12 hours ago
Full Stack AI Engineer - iGaming & Sports AI Platform
Conduet is a leading provider of AI-powered customer service tools, specializing in the iGaming and Online Sports Betting sector. The role of Full Stack AI Engineer involves deploying and integrating the AI platform into client environments, building custom connectors and APIs, and designing evaluation systems to improve AI response quality.
Big DataInformation TechnologyBusiness IntelligenceTechnical Support
Responsibilities
Deploy and integrate our AI Platform (“gameLM”) 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 directly to the continuous improvement of Conduet’s AI and platform architecture
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 Conduet’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 teams
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
Qualification
Required
4+ years experience in full-stack engineering or ML
Strong 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
Preferred
Experience with gaming, sports betting, or high-volume transactional systems
Exposure to observability tools (e.g., Datadog, Grafana) or experiment tracking frameworks
Interest in applied AI safety, ethics, and model performance evaluation
Benefits
Performance incentives
Potential equity participation
Hybrid or fully remote work options available within the U.S.