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    14d305f4 Ab0a 83eef033eae2

    Dice

    Confirmed from source
    Location
    Boston, MA · On-site
    Employment type
    Contract · Senior
    Salary
    $4/yr
    Posted
    Posted 2 days ago

    Freshness: Present in the latest sync from firecrawl yesterday. (last checked yesterday) · Source: firecrawl

    Applying takes you to the employer or source website.

    About this role

    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

    Skills

    • Azure
    • Security