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    Home/Jobs/Software Engineer, AI Experience

    Software Engineer, AI Experience

    Isolved

    United States
    4+ years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    Agentic workflows
    Prompt Engineering
    Claude
    C#
    SQL Server
    AI-Driven Development Lifecycle (AI-DLC)
    MCP servers
    AI coding tools
    Copilot
    Cursor
    DORA
    DX metrics

    Description

    The AI Experience Engineer plays a critical role in advancing isolved's AI-Driven Development Lifecycle (AI-DLC). This role focuses on improving how engineers interact with AI collaborators.

    Company: isolved

    Role: Software Engineer, AI Experience

    Location: USA (Headquarters in Charlotte, NC)

    Experience:

    • 4+ years of professional software engineering experience
    • Hands-on experience using AI coding tools (e.g., Claude, Copilot, Cursor) as part of daily development workflows
    • Experience building LLM-powered applications, including prompt engineering, RAG, agentic workflows, and evaluation frameworks
    • Experience building or integrating tooling for agent-based workflows (e.g., MCP servers, tool integrations)

    Key Skills:

    • AI-Driven Development Lifecycle (AI-DLC)
    • AI coding tools (e.g., Claude, Copilot, Cursor)
    • LLM-powered applications
    • SQL Server
    • C#/.NET
    • Agentic workflows
    • MCP servers
    • Internal copilots
    • Spec-driven workflows
    • AI-assisted code review
    • Automation agents
    • Risk analysis
    • Test generation
    • Failure triage
    • Context-aware AI assistants

    Qualification:

    • Strong developer experience mindset
    • Excellent collaboration and communication skills
    • Demonstrated product mindset for internal tooling
    • Working proficiency in SQL Server, C#/.NET

    Role Focus:

    • Embed with product engineering teams to observe AI-DLC workflows, identify friction points, and translate them into actionable improvements
    • Partner directly with engineers through hands-on pairing to demonstrate effective AI-driven development practices
    • Design and build agentic workflows, including context-aware AI assistants, MCP servers, and internal copilots
    • Develop and maintain AI-driven development pipelines, including spec-driven workflows, AI-assisted code review, and automation agents
    • Own and evolve AI quality pipelines (e.g., risk analysis, test generation, failure triage) based on real-world usage and feedback

    Additional responsibilities:

    • Build and maintain integrations connecting AI tools to engineering systems (e.g., codebase, IDP, tickets, runbooks)
    • Engineer context and retrieval systems to deliver the right information (code, docs, standards) into AI workflows at the right time
    • Develop and maintain reusable prompt libraries, ensuring continuous improvement as tooling and models evolve
    • Define and implement evaluation frameworks to measure impact on developer productivity and AI adoption (e.g., DORA, DX metrics)
    • Establish feedback loops to continuously refine tooling based on real engineering needs and observed friction
    • Ensure reliability, performance, and trustworthiness of AI tooling while collaborating with platform teams on shared infrastructure

    Other:

    • isolved ranked for SMB Payroll in 2023 Sapient Report
    • Voted top places to work in USA 2023
    • Recently expanded to nearshore

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

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