Agentic AI ML Engineer

We are looking for an experienced Agentic AI & ML Engineer with a strong backend development background, hands-on experience in Machine Learning (ML), Deep Learning (DL), and Multi-Agent Systems, and expertise in AI-driven automation.
The ideal candidate has practical experience building and implementing ML/DL solutions and designing multi-agent architectures in real-world projects.

Requirements:
Minimum 3 years of backend development experience.
Strong hands-on experience with Machine Learning (ML) and Deep Learning (DL), demonstrated through previous projects.
Proven experience designing, building, and implementing Multi-Agent Systems, including agent orchestration, coordination, and communication.
Strong practical experience with Agentic AI development and AI agent architectures.
Experience developing and integrating ML/DL models into backend applications and AI-driven workflows.
Strong understanding and hands-on experience with MCP (Model Context Protocol).
Experience with automation tools and workflow platforms such as n8n.
Experience working with AI tools and LLMs such as Claude.
Experience with prompt engineering, prompt design, and prompt evaluation.
Strong understanding of workflow automation, AI agents, and backend integrations.
Ability to independently design, implement, and optimize complex AI-driven solutions.
Strong ownership mindset and problem-solving skills.
Fluency in English.

Nice to Have:
Experience with Python and ML/DL frameworks such as PyTorch or TensorFlow.
Experience with multi-agent frameworks such as LangGraph, CrewAI, or AutoGen.
Experience working with AWS.
Experience with CRM systems, customer lifecycle management, retention analytics, or marketing automation platforms.
Experience deploying and maintaining production-grade ML models and AI agent systems.
Previous experience in the iGaming industry.