Job description

Why Work Here • Headquarters is in Charlotte, NC • Recently expanded to nearshore • isolved ranked for SMB Payroll in 2023 Sapient Report • Voted top places to work in USA 2023 Job Description The Senior AI Experience Engineer plays a critical role in advancing isolved's AI-Driven Development Lifecycle (AI-DLC), which is already in active use across engineering teams. This role operates at the intersection of developer experience and AI, focusing on improving how engineers interact with AI collaborators. By embedding directly with product teams, the engineer identifies workflow friction in real time, then designs and delivers targeted tooling and solutions to address it. This position emphasizes a hands-on, iterative approach-pairing with engineers in their day-to-day environments, diagnosing gaps between AI capability and actual adoption, and treating those gaps as solvable engineering problems. The role is instrumental in shaping AI-driven workflows, enhancing context and reliability, and ultimately enabling engineers to work more efficiently by reducing toil and increasing focus on high-value outcomes like system design and customer impact. Core Job Duties • 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 Minimum Qualifications • 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 About isolved isolved is a leading provider of human capital management (HCM) solutions that combines modern technology with expert services and support. Purpose-built for People Heroes™, isolved gives HR, payroll and benefits leaders the tools and insights to streamline operations and deliver employee experiences that matter. isolved People Cloud™ is a connected HCM platform with built-in artificial intelligence (AI) and analytics that brings together HR, payroll, benefits, workforce management and talent management in one experience. Built on a legacy of 40 years in the market, isolved is trusted by more than 200,000 employers and used by 9 million U.S. employees, representing about one in 20 American workers. Visit www.isolvedhcm.com. #LI-KJ1

Requirements

Must-haves

Core Job Duties
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
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

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aillmsql

Platform: isolved
Effort: medium