Agentic AI Senior Consultant

📋 Description

• Own the technical success of enterprise customers' agentic AI initiatives, managing the complete
• Lead customer workshops to identify, assess, and prioritize high-value agentic AI use cases
• Design and implement sophisticated multi-agent architectures, including agent decomposition
• Develop, review, and troubleshoot production-quality software using Go or Python, building agents
• Deploy and operate agentic AI applications using Docker, Kubernetes, and major cloud platforms
• Integrate AI agents with enterprise applications, data sources, and legacy systems through MCP

🎯 Requirements

• At least 7 years of professional experience in professional services, technology consulting
• Minimum 2 years of hands-on experience designing, developing, and deploying LLM-based applications
• Strong understanding of software development lifecycle (SDLC) practices, including version control
• Strong programming proficiency in Go or Python, with Go considered a significant advantage.
• Practical experience designing and implementing multi-agent systems, including task delegation
• Familiarity with agent development frameworks such as Google ADK, LangGraph, LangChain, CrewAI, or

🎁 Benefits

• Competitive compensation: Attractive remuneration package aligned with your skills and professional
• Flexible working arrangements: Remote-first and hybrid working options designed to support
• Work-life balance: A flexible working culture that encourages employees to maintain a healthy
• Professional development: Access to training programs and continuous learning opportunities to
• Career growth: Opportunities to develop your career while working on advanced enterprise AI
• Innovative projects: Direct involvement in cutting-edge agentic AI, event-driven architecture, and