Technology Specialist Java / Spring Boot / AI-ML

Argyllinfotech

  • Hartford, CT
  • 14 days ago

    Highlights

    The ideal candidate should have experience developing enterprise applications and building AI-driven solutions using Generative AI, LLMs, and Agentic AI. Experience using AI Builder to develop AI agents for business solutions and software development lifecycle (SDLC) activities.

    Numbers & Facts

    LocationHartford, CT

    Description

    Job Title: Technology Specialist Java / Spring Boot / AI-ML
    Location: Hartford, CT 06103
    Duration: 12 Months (Contract)
    Experience: 8 10 Years
    Interview Mode: Face-to-Face (Mandatory)
    Job Description
    We are seeking an experienced Technology Specialist with strong hands-on expertise in Java, Spring Boot, JavaScript, Cloud Technologies, and AI/ML. The ideal candidate should have experience developing enterprise applications and building AI-driven solutions using Generative AI, LLMs, and Agentic AI.
    Required Skills
    • 7+ years of experience in Java, Spring Boot, and JavaScript (ReactJS or similar frameworks).
    • Strong experience with Azure or other public cloud platforms.
    • Hands-on experience building and deploying AI/ML and Generative AI solutions.
    • Expertise in LLM-based applications, Agentic AI, and AI Agents.
    • Experience using AI Builder to develop AI agents for business solutions and software development lifecycle (SDLC) activities.
    • Experience integrating AI solutions with enterprise applications and data.
    • Ability to collaborate effectively within AI Pods and cross-functional development teams.
    • Strong analytical, troubleshooting, and communication skills.
    Nice-to-Have Skills
    • Experience in Healthcare, Financial Services, or other highly regulated enterprise environments.
    Key Responsibilities
    • Develop and maintain enterprise applications using Java, Spring Boot, and JavaScript.
    • Design, build, and deploy AI/ML solutions, including Generative AI and autonomous AI agents.
    • Integrate AI capabilities with cloud infrastructure and enterprise systems.
    • Collaborate with AI Pods to deliver AI-driven business solutions.
    Mandatory: Must be available for a face-to-face interview.

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