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
Company H1B Sponsorship