Software Engineer, AI Experience (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer, AI Experience (AI Engineering/.NET): Developing and optimizing the AI-Driven Development Lifecycle (AI-DLC) and internal AI tooling to enhance developer productivity with an accent on agentic workflows and LLM integration. Focus on designing context-aware assistants, building MCP servers, and implementing evaluation frameworks to reduce engineering toil.
Location: USA
Company
is a leading provider of human capital management (HCM) solutions that combines modern technology with expert services and support for SMBs.
What you will do
- Embed with product engineering teams to identify friction in AI-DLC workflows and translate them into actionable improvements.
- Design and build agentic workflows, including context-aware AI assistants, MCP servers, and internal copilots.
- Develop AI-driven development pipelines, including spec-driven workflows, AI-assisted code review, and automation agents.
- Engineer context and retrieval systems (RAG) to deliver relevant code and documentation into AI workflows.
- Implement evaluation frameworks using DORA and DX metrics to measure impact on developer productivity and AI adoption.
- Maintain reusable prompt libraries and build integrations connecting AI tools to codebase and engineering systems.
Requirements
- 4+ years of professional software engineering experience.
- Working proficiency in C#/.NET and SQL Server.
- Hands-on experience building LLM-powered applications, including prompt engineering, RAG, and agentic workflows.
- Proficiency using AI coding tools such as Claude, Copilot, or Cursor in daily workflows.
- Experience with developer productivity metrics (e.g., DORA, DX Core 4).
- Must be based in the USA.
Culture & Benefits
- Voted as one of the top places to work in the USA 2023.
- Comprehensive total rewards offerings available.
- Progressive and open-minded meritocracy focused on skill and performance.
- Opportunity to work on cutting-edge AI-driven development lifecycle (AI-DLC) tools.
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