5-7 years of experience in AI engineering and integration
Proficiency in the Agentic Framework and its tools
Strong background in memory management and planning for AI solutions
Experience with multi-agent orchestration frameworks
Familiarity with enterprise systems integration, including APIs and ERP tools
Ability to collaborate with cross-functional teams
Knowledge of emerging trends in Agentic AI technologies
Responsibilities
Architect and implement multi-agent orchestration frameworks for complex AI workflows
Develop and maintain AI agents tailored to specific business use cases
Design and optimize pipelines that enhance agent effectiveness through memory and planning tools
Integrate AI agents with enterprise systems for seamless interoperability
Implement observability and performance monitoring solutions for AI reliability
Collaborate with product managers, data engineers, and stakeholders to align AI initiatives
Drive innovation by researching and applying advanced techniques in Agentic AI
Benefits
Opportunity to work with cutting-edge AI technologies
Collaborative environment with cross-functional teams
Focus on innovation and continuous improvement
Access to professional development resources
Engagement with emerging trends in the AI field
Full Job Description
Role description
AI Engineer Tooling Integration
Own the enterprise integration layer for the Store Agent platform enabling secure scalable and governed connectivity between AI agents and business systems while accelerating the delivery of reusable tools workflows and automated store operations capabilities
Job Summary
Seeking a Specialist with 5 to 7 years of experience to design and implement advanced Agentic AI solutions leveraging the Agentic Framework tools memory and planning within the BlueverseGenAIAgentic AIPlatform domain
Job Description
Design and develop scalable AI agent workflows using the Agentic Framework Utilize advanced tools for memory management and planning to enhance AI agent capabilities Build and optimize AI solutions that integrate memory components and planning strategies for improved task execution Collaborate with crossfunctional teams to integrate AI agents seamlessly into enterprise platforms and business workflows Monitor AI agent performance to ensure reliability and continuous improvement Stay updated with emerging trends and advancements in Agentic AI technologies within the Blueverse ecosystem
Roles and Responsibilities
Architect and implement multiagent orchestration frameworks to support complex AI workflows
Develop and maintain AI agents using the Agentic Framework tailored to specific business use cases
Design and optimize pipelines incorporating memory and planning tools to improve agent effectiveness
Integrate AI agents with enterprise systems ensuring interoperability with APIs ERP and operational tools
Implement observability tracing and performance monitoring solutions to maintain AI system reliability
Collaborate closely with product managers data engineers AI architects and business stakeholders to align AI initiatives with organizational goals
Drive innovation by researching and applying the latest techniques in Agentic AI memory management and planning
