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# GenAI Engineer

- **Company:** Ibotix Us Inc.
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Business Software, Cloud Engineering, Cursor, Memory Management, Software Deployment, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Data Management, Enterprise Software Applications, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Microsoft Fabric, AI Platforms, Kubernetes, Machine Learning Operations, Automation Anywhere
- **Published:** September 10, 2026
- **Apply:** https://www.dice.com/job-detail/14d305f4-8415-4390-ab0a-83eef033eae2

## About the Role

We are seeking a highly skilled Generative AI Engineer to design, build, and deploy intelligent AI agents that solve complex business challenges. The ideal candidate will have hands-on experience with modern AI development lifecycle tools, agentic frameworks, and enterprise AI platforms, with the ability to take solutions from concept through production deployment., * Experience with Microsoft Fabric and in building and deploying AI agents on Azure AI Foundry.

 * Strong hands-on experience with at least one AI-assisted development platform:

 * Claude Code
 * GitHub Copilot
 * Cursor
 * Windsurf
 * Slingshot

 * Experience building, testing, and deploying agentic AI solutions in enterprise environments.
 * Solid understanding of Large Language Models (LLMs), prompt engineering, AI workflow orchestration, tool calling, memory management, and agent architectures.
 * Strong software engineering fundamentals with experience in API integration, system design, and application development.
 * Preferred Qualifications

Proven experience designing and implementing AI agents using modern Generative AI frameworks such as:

 * LangGraph
 * LangChain
 * LangSmith

 * Similar agent orchestration and observability frameworks
 * Familiarity with cloud-native AI architectures and MLOps best practices.
 * Experience integrating AI solutions with enterprise data platforms and business applications.

## Description

* Design, develop, and deploy AI agents and agentic workflows using modern Generative AI frameworks
 * Build scalable solutions leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agents.
 * Develop and optimize multi-step AI workflows that integrate with enterprise systems, APIs, and business processes.
 * Collaborate with product, engineering, and business stakeholders to identify AI use cases and deliver production-ready solutions.
 * Evaluate emerging AI technologies, frameworks, and tools to improve development efficiency and solution effectiveness.
 * Ensure AI solutions meet enterprise standards for scalability, security, performance, and maintainability.


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