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.
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.