Note: The job is a remote job and is open to candidates in USA. isolved is a leading provider of human capital management (HCM) solutions, and they are seeking an AI Experience Engineer to enhance their AI-Driven Development Lifecycle. This role focuses on improving the interaction between engineers and AI collaborators by identifying workflow friction and designing targeted tooling solutions.

Responsibilities

• 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
• 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

Skills

• 4+ years of professional software engineering experience
• Strong developer experience mindset, with the ability to identify friction and design scalable, user-focused solutions for internal engineers
• Excellent collaboration and communication skills, with experience pairing effectively across varying levels of engineering expertise
• Demonstrated product mindset for internal tooling, including measuring adoption and iterating based on user feedback
• 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
• Working proficiency in SQL Server, C#/.NET and ability to deliver production-quality solutions in a .NET ecosystem
• Experience building or integrating tooling for agent-based workflows (e.g., MCP servers, tool integrations)
• Familiarity with developer productivity metrics (e.g., DORA, DX Core 4) and applying them to drive measurable improvements

Company Overview

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