Agentic AI & Automation Specialist

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. Originally posted on Himalayas