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Agentic AI & Automation Specialist

Role overview

Summary

This role focuses on developing and implementing AI-driven automation solutions using Machine Learning and Multi-Agent Systems. You will work on real-world projects that require designing complex architectures and integrating AI models into backend applications.

Qualifications

  • Minimum 3 years of backend development experience.
  • Strong hands-on experience with Machine Learning (ML) and Deep Learning (DL).
  • Proven experience designing, building, and implementing Multi-Agent Systems.
  • Strong practical experience with Agentic AI development and AI agent architectures.
  • Fluency in English.

Responsibilities

  • Build and implement Machine Learning (ML) and Deep Learning (DL) solutions.
  • Design multi-agent architectures for real-world projects.
  • Develop and integrate ML/DL models into backend applications and AI-driven workflows.
  • Optimize complex AI-driven solutions independently.

Key facts

  • Remote from: Ukraine, Europe, EMEA
  • Full time
  • Mid-level (2-5 years)
  • AI Automation Engineer
  • English

Hard skills

Other skills

  • Problem Solving

About the company

Commit logo

Commit

  • IT Services & Consulting
  • SME
  • 501–1,000
Commit is a global tech services company with offices in New York, Israel, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Software, IoT, Big Data, Cloud, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.

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Job description

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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