Forward Deployed Engineer
NEUROHIRE INC
United States
30 days ago
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Role details
Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Compensation
$120,000 - $140,000
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
BASIC (Programming Language)
Cloud Computing
Computer Programming
Databases
Software Debugging
Monitoring of Systems
Python (Programming Language)
+13 more
Machine Learning
NoSQL
Search Technologies
Software Engineering
SQL Databases
Systems Integration
Retrieval-Augmented Generation
Generative AI
Agentic-AI
Git
Information Technology
Api Design
Software Version Control
Job description
- 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
QΝualifications
- Recent graduate of a Bachelorβs or Masterβs 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
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