Forward Deployed Engineer

neurohire.ai · United States (Remote) · posted Oct 15, 2026

Open to candidates in United States

Full-timejunior

You apply on the company's own site. We never charge to apply.

What this role actually asks for

Extracted by RemoteHunt

Must have

  • •Programming experience in Python, JavaScript, Java, or similar
  • •Experience with APIs and system integrations
  • •Familiarity with databases (SQL or NoSQL)
  • •Exposure to cloud platforms (AWS, Azure, or GCP)
  • •Basic understanding of AI / ML concepts
  • •Debugging and problem-solving skills
  • •Version control basics (Git)

Nice to have

  • •Exposure to LLM-based applications or AI tools
  • •Internship or relevant experience

Tools and technologies

PythonJavaScriptJavaAPIsSQLNoSQLAWSAzureGCPLLMRAGGit

The full 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

Requirements

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 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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