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.

Extracted automatically from public job postings. Always verify details on the original posting before applying.

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…

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  • The title, level and compensation match the original posting.
  • The role is still open — postings often close without notice, we drop them within 10 days of disappearing.
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