Why This Role Stands Out
This remote Forward Deployed Engineer role at neurohire.ai offers incredible growth potential by immersing you in cutting-edge AI and LLM integrations within diverse client environments. You'll thrive here if you possess strong technical aptitude, a passion for problem-solving, and a desire to collaborate closely with both customers and internal engineering teams to shape the future of applied AI. Apply now to gain invaluable experience and contribute to innovative solutions.
Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Remote
Location
United States
Posted
17 hours ago
GCPSQLAWSAzureGitJavaJavaScriptLLMPython
Job Description
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 internship or relevant experience will be considered a plus
- Strong interest in customer‑facing engineering and applied technology delivery
- Training & Development
- Work From Home