Senior Software Engineer, AI Experience

Senior Software Engineer, AI ExperienceThe 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 DutiesEmbed with product engineering teams to observe AI-DLC workflows, identify friction points, and translate them into actionable improvementsPartner directly with engineers through hands-on pairing to demonstrate effective AI-driven development practicesDesign and build agentic workflows, including context-aware AI assistants, MCP servers, and internal copilotsDevelop and maintain AI-driven development pipelines, including spec-driven workflows, AI-assisted code review, and automation agentsOwn and evolve AI quality pipelines (e.g., risk analysis, test generation, failure triage) based on real-world usage and feedbackBuild 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 timeDevelop and maintain reusable prompt libraries, ensuring continuous improvement as tooling and models evolveDefine 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 frictionEnsure reliability, performance, and trustworthiness of AI tooling while collaborating with platform teams on shared infrastructureMinimum Qualifications4+ years of professional software engineering experienceStrong developer experience mindset, with the ability to identify friction and design scalable, user-focused solutions for internal engineersExcellent collaboration and communication skills, with experience pairing effectively across varying levels of engineering expertiseDemonstrated product mindset for internal tooling, including measuring adoption and iterating based on user feedbackHands-on experience using AI coding tools (e.g., Claude, Copilot, Cursor) as part of daily development workflowsExperience building LLM-powered applications, including prompt engineering, RAG, agentic workflows, and evaluation frameworksWorking proficiency in SQL Server, C#/.NET and ability to deliver production-quality solutions in a.NET ecosystemExperience 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 improvementsAbout isolvedisolved 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.