Forward Deployed Engineer

Job not on LinkedIn

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $120k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NeuroHire

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

☁️ SaaS

👥 HR Tech

🎯 Recruiter

SaaS • HR Tech • Recruitment

NeuroHire is an all-in-one SaaS "Career Operating System" that combines AI-driven automation with human career specialists to help IT professionals—especially international students and visa-dependent candidates—navigate the U. S. tech job market. The platform automates job discovery, resume and ATS optimization, large-scale application management, and company-specific interview preparation while human experts verify submissions, provide cultural and visa-aware guidance, and deliver coaching. NeuroHire positions itself as a human+AI symbiosis validated in a pilot program to deliver interview invites and job offers for IT candidates seeking U. S. roles.

📋 Description

• Assist in deploying and configuring AI and platform solutions within customer environments • Support integration of solutions with client systems, data sources, and workflows • Perform testing, validation, and environment readiness activities • Troubleshoot implementation and integration issues under guidance • Support integration of LLM‑based applications and AI agents • Assist with prompt configuration, RAG pipelines, embeddings, and vector search • Help monitor system performance, data quality, and basic operational metrics • Work with senior FDEs during customer discovery, implementation sessions, and workshops • Communicate technical findings and progress clearly to internal teams • Assist in creating documentation, runbooks, and training materials for customers • Capture implementation learnings and recurring challenges from customer environments • Share feedback with internal product and engineering teams to improve future deployments • Contribute reusable scripts, templates, or configuration assets

🎯 Requirements

• Programming experience in Python, JavaScript, Java, or similar • Experience working with APIs and basic system integrations • Familiarity with databases (SQL or NoSQL) • Exposure to cloud platforms (AWS, Azure, or GCP) • Basic understanding of AI / ML concepts • Exposure to LLM‑based applications or AI tools through coursework, projects, or internships • Willingness to learn applied AI implementation patterns • Debugging and problem‑solving in real‑world environments • Version control basics (Git) • Clear written and verbal communication • Ability to work in structured but evolving delivery environments • Curiosity and willingness to learn in complex environments • Structured problem‑solving mindset • Professional communication with customers and internal teams • Ability to work collaboratively with guidance • Excellent communication, analytical, and problem-solving skills • Demonstrated teamwork and leadership abilities • Recent graduate of a Bachelor’s or Master's degree program in Computer Science, Engineering, or a related technical field • Minimum of a 3.0 on a 4.0 GPA scale • 0–2 years of experience in software engineering, technical consulting, or implementation roles • An internship or relevant experience will be considered a plus • Strong interest in customer‑facing engineering and applied technology delivery

🏖️ Benefits

• Training & Development • Work From Home

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