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Senior GenAI Engineer

IBOTIX US Inc.Boston, MA🇺🇸United StatesPosted 9 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Boston, MA, United States
Posted
22 hours ago
MLOpsAzureGenerative AI

Job Description

Job Title: Senior GenAI Engineer

Work Location: Boston, MA - 4 days a week onsite

Long Term Contract

If you find this opportunity suitable, kindly share your updated resume. Also, please let me know a good time to connect with you for a quick discussion.

Looking forward to hearing from you!

Job Description

Requirements Provided:

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.

Key Responsibilities

  • 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.

Required Qualifications

  • 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.
  • Ideal Candidate

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