Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US.
GenAI Solutions Engineer
Location
United States
Posted
5 days ago
Salary
0
Seniority
Mid Level
Job Description
GenAI Solutions Engineer
Rootshell Enterprise Technologies, Inc.
Role Description Translating AI capabilities into business value requires a technically versatile engineer who can bridge the gap between complex AI models and practical applications. This implementation-oriented full-stack role combines software engineering expertise with specialized knowledge of how to efficiently leverage data sources, LLMs, and AI agents in production environments to deliver tangible business value. - Accelerates user adoption through intuitive interfaces and seamless system integrations - Creates efficient data pipelines connecting LLMs to relevant utility information sources - Enables intelligent automation through multi-agent systems for complex workflows - Develops sustainable solutions that can evolve with business needs and technology advances Key Responsibilities - Build proof-of-concept applications and production-ready interfaces for GenAI capabilities - Connect AI services with enterprise systems (SAP, internal databases) for data exchange - Design and implement multi-agent architectures to solve complex business processes - Develop tool integration frameworks allowing AI to interact with utility systems - Create robust memory and reasoning systems for contextual, multi-step AI interactions - Implement appropriate guardrails and safety measures for AI agent systems - Gather requirements and translate business needs into technical implementation - Produce documentation and knowledge transfer materials for sustainable solutions Expected Skillset - Full-Stack Development: Modern front-end frameworks, back-end technologies, API design - System Integration: Experience connecting disparate systems, data orchestration, authentication - AI Application Patterns: RAG architectures, prompt engineering, agent orchestration frameworks - Agent Architecture: Knowledge of multi-agent systems, collaboration protocols, tool integration - Reasoning & Memory: Understanding of chain-of-thought reasoning, context management, planning algorithms - User Experience: Ability to design intuitive AI interfaces with appropriate feedback mechanisms - Rapid Prototyping: Demonstrated ability to quickly build working demos and iterate based on feedback
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