AI Customer Support Full-Stack Developer.
My client is a leading provider of AI-powered customer service tools, specializing in sports betting & gaming sector. They partner with global operators to deliver intelligent, automated support that enhances player experience and operational efficiency.
They are now expanding the U.S. engineering capability to support client integrations and AI performance excellence across the region.
Why Join?
· Be 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 salary, performance incentives, and potential equity participation
· Fully remote work options available within the U.S.
The Role:
This role is primarily a full-stack developer position, with a strong focus on AI evaluation and client integration.
You’ll work closely with Product, Engineering, and Client Solutions teams to:
· Deploy and integrate the AI platform into client stacks
· 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 the AI and platform architecture
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:
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 the 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
AI 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:
My client are seeking 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 ML
· Strong proficiency in Node.js with Ruby on rails experience a major 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 (e.g., Datadog, Grafana) or experiment tracking frameworks
· Interest in applied AI safety, ethics, and model performance evaluation
Apply for this job.
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