Forward Deployed Engineer

neurohire.ai

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Work arrangement
Remote
Occupation
Software & IT
Location
US
Compensation
Not disclosed
Apply by
April 15, 2027

About this role

<h2>Key R͏esponsibilities</h2><h2>Deployment &amp; Implementation Support:</h2><ul>
<li>Assist in deploying and configuring AI and platform solutions within customer environments</li>
<li>Support integration of solutions with client systems, data sources, and workflows</li>
<li>Perform testing, validation, and environment readiness activities</li>
<li>Troubleshoot implementation and integration issues under guidance</li>
</ul><h2>Applied AI Enablement:</h2><ul>
<li>Support integration of LLM‑based applications and AI agents</li>
<li>Assist with prompt configuration, RAG pipelines, embeddings, and vector search</li>
<li>Help monitor system performance, data quality, and basic operational metrics</li>
</ul><h2>Customer Collaboration:</h2><ul>
<li>Work with senior FDEs during customer discovery, implementation sessions, and workshops</li>
<li>Communicate technical findings and progress clearly to internal teams</li>
<li>Assist in creating documentation, runbooks, and training materials for customers</li>
</ul><h2>Product &amp; Engineering Feedback:</h2><ul>
<li>Capture implementation learnings and recurring challenges from customer environments</li>
<li>Share feedback with internal product and engineering teams to improve future deployments</li>
<li>Contribute reusable scripts, templates, or configuration assets</li>
</ul><h2>Requirements</h2><h2>Deployment &amp; Integration</h2><ul>
<li>Programming experience in Python, JavaScript, Java, or similar</li>
<li>Experience working with APIs and basic system integrations</li>
<li>Familiarity with databases (SQL or NoSQL)</li>
<li>Exposure to cloud platforms (AWS, Azure, or GCP)</li>
</ul><h2>Applied AI (Foundational)</h2><ul>
<li>Basic understanding of AI / ML concepts</li>
<li>Exposure to LLM‑based applications or AI tools through coursework, projects, or internships</li>
<li>Willingness to learn applied AI implementation patterns</li>
</ul><h2>Operational &amp; Professional Skills</h2><ul>
<li>Debugging and problem‑solving in real‑world environments</li>
<li>Version control basics (Git)</li>
<li>Clear written and verbal communication</li>
<li>Ability to work in structured but evolving delivery environments</li>
</ul><h2>Soft Skills</h2><ul>
<li>Curiosity and willingness to learn in complex environments</li>
<li>Structured problem‑solving mindset</li>
<li>Professional communication with customers and internal teams</li>
<li>Ability to work collaboratively with guidance</li>
<li>Excellent communication, analytical, and problem-solving skills</li>
<li>Demonstrated teamwork and leadership abilities</li>
</ul><h2>Q͏ualifications</h2><ul>
<li>Recent graduate of a Bachelor’s or Master's degree program in Computer Science, Engineering, or a related technical field</li>
<li>Minimum of a 3.0 on a 4.0 GPA scale</li>
<li>0–2 years of experience in software engineering, technical consulting, or implementation roles</li>
<li>An internship or relevant experience will be considered a plus</li>
<li>Strong interest in customer‑facing engineering and applied technology delivery</li>
</ul><h2>Benefits</h2><ul>
<li>Training &amp; Development</li>
<li>Work From Home</li>
</ul>

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