12 дней назад
Forward-Deployed Engineer (Agentic Product Management)
170 000 - 220 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Forward-Deployed Engineer (Agentic Product Management) (AI agents/LLMs): Engineering and shipping production AI agents embedded in NetApp product functions, with an accent on end-to-end architecture, real workflow integration, and measurable quality. Focus on designing reliable agent systems, building evaluation and regression frameworks, navigating security and data-owner approvals, and enabling teams to operate the systems in production.
Location: Morrisville, North Carolina, United States; hybrid work with some in-office and/or in-person expectations
Salary: $170,000–$220,000 per year, with the final offer based on location, qualifications, experience, and education.
Company
delivers intelligent data infrastructure, unified storage, integrated data services, and cloud solutions for enterprise workloads and AI.
What you will do
- Embed in product organization functions such as product operations, program management, UX design, or product management.
- Discover problems with host teams and define the technical approach, architecture, agent boundaries, and human-in-the-loop requirements.
- Build and deploy production AI agents using prompts, context engineering, tools, retrieval, sub-agents, orchestration, and integration code.
- Create evaluations, golden sets, and regression checks to measure quality in non-deterministic systems.
- Own reliability, safety, and correctness in live workflows, then deliver enablement and handoff to the host team.
- Partner with security, IT, and data owners while contributing reusable agent patterns, evaluation harnesses, and platform improvements.
Requirements
- Typically 8+ years of experience shipping production software.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Hands-on experience with LLMs, prompt and context engineering, tool and function calling, retrieval, agent frameworks, evaluation of non-deterministic systems, and Model Context Protocol.
- Strong problem discovery, structured thinking, stakeholder management, and technical communication skills.
- Ability to work in high-ambiguity environments and move between time-boxed engagements across different functions and domains.
- Ability to work in a hybrid environment with in-office and/or in-person expectations in Morrisville, North Carolina.
Nice to have
- Familiarity with Cursor and Claude Code.
- Experience with LangGraph and/or LangSmith.
- Experience with other orchestration platforms and agent frameworks.
Culture & Benefits
- Hybrid work designed to support collaboration and connection.
- Health, life, retirement or pension, paid time off, and leave benefits, subject to regional policies.
- Performance-based incentives, employee stock purchase opportunities, and/or restricted stock units may be included.
- Culture focused on initiative, impact, ownership, creativity, and inclusion.
Hiring process
- Applications are reviewed through the company website.
- Some stages may use AI tools to support application evaluation and candidate selection, with human decision-making retained.
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