Job Description

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

Required Experience & Skills

• 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.