Senior Artificial Intelligence Specialist

Posted 4 hours ago

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About the role

  • AI / Generative AI Engineer contributing to LLM-based systems for iGaming platform at GR8 Tech. Building chatbots, AI assistants, and GenAI features in production environments.

Responsibilities

  • Implement and maintain LLM-based features and services under guidance;
  • Build and improve chatbots and conversational AI systems with predictable behavior;
  • Contribute to AI-assisted and AI-automated workflows that reduce manual effort;
  • Work on RAG pipelines, including document ingestion, embeddings, retrieval, and generation;
  • Implement parts of agent-style workflows (tool usage, step orchestration);
  • Integrate GenAI components with existing backend services and APIs;
  • Help monitor system behavior, performance, and basic quality metrics;
  • Participate in debugging issues and supporting systems in production;
  • Collaborate with Product, ML Engineering, and Backend teams;
  • Follow team standards for code quality, testing, and documentation.

Requirements

  • Solid background in software engineering;
  • Hands-on experience with LLM-based systems or applications;
  • Practical experience with: Large Language Models, RAG architectures and embedding-based retrieval, Chatbot or conversational system development, tool/function calling or structured LLM outputs;
  • Familiarity with context or tool-serving patterns (e.g. MCP or similar concepts);
  • Experience contributing to production systems;
  • Basic understanding of performance, latency, and cost considerations;
  • Experience working with cloud infrastructure (preferably AWS);
  • Familiarity with evaluation or monitoring of AI systems;
  • Strong engineering fundamentals (clean code, testing, debugging).

Benefits

  • Paid maternity/paternity leave + monthly childcare allowance.
  • 20+ vacation days, unlimited sick leave, emergency time off.
  • Remote-first + tech support + coworking compensation.
  • Team events (online/offline/offsite).
  • Learning culture with internal courses + growth programs.

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

AWSCloud

Location requirements

RemoteWorldwide

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