neurohire.ai FDE
Forward Deployed Engineer
- Location United States
- Type Full-time
- Seniority junior
- Posted 2026-10-15
Original posting ↗ You apply on the company site — we never collect applications.
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role details
Assists in deploying and configuring AI solutions, supports integration and troubleshooting, and collaborates with customers and internal teams.
Summary generated by AI from the original posting.
Hard requirements to check first
- Clearance:not mentioned in the posting
- Work auth:not mentioned in the posting
Skills
PythonJavaScriptJavaSQLRAGAWSAzureGCPAgentsAPIsdatabases (SQL or NoSQL)
Excerpt from the original posting
Key R͏esponsibilities Deployment & Implementation Support: - 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 Applied AI Enablement: - 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 Customer Collaboration: - 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 Product & Engineering Feedback: - 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 Deployment & Integration - 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) Applied AI (Foundational) - 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 Operational & Professional Skills - 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 Soft Skills - 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 Q͏ualifications - 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 intern…