Forward Deployed Engineer

New
N
neurohire.aiApplied AI
United StatesFull-TimeEntry
Salary not disclosed
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Job Details

Experience
0–2 years of experience in software engineering, technical consulting, or implementation roles
Required Skills
AWSPythonSQLGCPJavaJavascriptAzureNosqlRESTful APIs

Requirements

  • Be a recent graduate of a Bachelor’s or Master's degree program in Computer Science, Engineering, or a related technical field.
  • Have a minimum GPA of 3.0 on a 4.0 scale.
  • Have 0–2 years of experience in software engineering, technical consulting, or implementation roles.
  • Have programming experience in Python, JavaScript, Java, or a similar language.
  • Have experience working with APIs and basic system integrations.
  • Be familiar with SQL or NoSQL databases.
  • Have exposure to AWS, Azure, or GCP.
  • Have a basic understanding of AI/ML concepts and exposure to LLM-based applications or AI tools through coursework, projects, or internships.
  • Have debugging and problem-solving skills and basic version control knowledge, including Git.
  • Be able to work collaboratively with guidance in structured but evolving delivery environments.
  • Show strong interest in customer-facing engineering and applied technology delivery.

Responsibilities

  • 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, including 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.
  • Create documentation, runbooks, and training materials for customers.
  • Capture implementation learnings and recurring challenges, and share feedback with product and engineering teams.
  • Contribute reusable scripts, templates, or configuration assets.
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