Support founders and team members as an executive assistant and special projects lead, building new systems and tools to improve operational effectiveness.
Compensation
Competitive compensation and meaningful equity.
Responsibilities
Coordinate calendars and sensitive information for founders
Lead the team and support overall delivery of program deliverables and interdependencies in an optimized manner, focusing on end-to-end supply planning and execution.
Responsibilities
Lead the team and support overall delivery of program deliverables
Part of Supply Chain Planning Team responsible for end-to-end supply planning and execution
Assess, design, build and implement best practices on process, organization, and technology for Order Management
Support overall lead on delivery of program deliverables and interdependencies
Lead and support the Supply Chain Planning Team in end-to-end order management, process design, and technology implementation for order creation to fulfillment.
Responsibilities
Lead and support the team and overall lead on delivery of program deliverables
Design, build and implement best practices on process, organization, and technology for Order Management
Assess, design, build and implement best practices on process, organization, and technology for Order Management
Coordinate AI transformation projects across Sales, Customer Support, and Engineering teams, organize data, test AI workflows, and document processes.
Responsibilities
Support AI transformation projects
Coordinate small AI and automation projects across Sales, Customer Support, and Engineering
Meet with team members to understand current processes
Break each project into clear tasks, expected outputs, owners, and deadlines
Track progress, follow up on action items, and prepare weekly status updates
Requirements
Bachelor's degree in Business Administration, Information Systems, Economics, Data Analytics, Computer Science, Marketing, Human Resources, or related fields
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.
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