Forward Deployed Engineer (AI / FDE)

Forward Deployed Engineer (AI / FDE)

We are seeking a motivated and technically skilled Forward Deployed Engineer (FDE) with 1–2 years of professional IT or software engineering experience to work directly with client engineering teams. This role focuses on deploying, integrating, and customizing AI-powered developer tools and automation solutions within enterprise environments. The ideal candidate should have hands-on exposure to AI coding assistants, Python scripting, API integrations, and emerging AI technologies. This is a client-facing, hands-on engineering role that requires someone who enjoys solving technical challenges, experimenting with new AI tools, and delivering practical solutions.

Responsibilities

• AI Tools & Integration
  • Configure, customize, and troubleshoot AI development tools such as Devin, Windsurf, Claude Code, and GitHub Copilot.
  • Integrate AI agents with internal applications, databases, APIs, and enterprise tools using Model Context Protocol (MCP).
  • Build and configure MCP servers and clients to enable communication between AI agents and external systems.
  • Implement secure connectivity using ngrok, Cloudflare Tunnel, SSH tunneling, and similar technologies.
• Python Development & Automation
  • Develop Python scripts, automation workflows, and integration solutions.
  • Build REST API integrations, webhooks, and custom utilities to connect AI tools with client systems.
  • Support LLM customization and fine-tuning techniques such as LoRA, PEFT, and prompt tuning.
  • Assist with dataset preparation, model evaluation, and performance improvements.
• Client Engagement & Solution Deployment
  • Work onsite with client engineering teams to understand workflows and technical requirements.
  • Develop rapid prototypes and proof-of-concept solutions based on business needs.
  • Troubleshoot technical issues and optimize deployed AI solutions.
  • Document technical implementations and provide guidance to client teams.
  • Communicate client feedback and improvement opportunities to engineering teams.

Requirements

• 1–2 years of professional IT, software development, or engineering experience.
• Working knowledge of AI coding assistants such as Devin, Windsurf, Claude Code, or GitHub Copilot.
• Understanding of Model Context Protocol (MCP), including MCP servers and clients.
• Hands-on exposure to ngrok, Cloudflare Tunnel, SSH tunneling, or similar connectivity tools.
• Proficiency in Python scripting, automation, and API integration.
• Understanding of REST APIs, webhooks, and system integrations.
• Exposure to LLM fine-tuning techniques such as LoRA, PEFT, and prompt tuning.
• Familiarity with Git, GitHub, and version control workflows.
• Basic understanding of AWS, Azure, or Google Cloud environments.
• Must be located near Juno Beach, FL, or willing to relocate at own expense before joining.
• Must be available to work onsite from Day 1. Remote or hybrid arrangements are not available.

• Experience with Docker and containerization.
• Knowledge of CI/CD pipelines.
• Exposure to Vector Databases and RAG (Retrieval-Augmented Generation).
• Familiarity with prompt engineering and AI agent workflows.
• Previous client-facing, consulting, or technical support experience.

• Strong verbal and written communication skills.
• Ability to work independently in a fast-paced environment.
• Strong troubleshooting and problem-solving abilities.
• Adaptability and willingness to learn emerging AI technologies.
• Curiosity, creativity, and the ability to bring innovative ideas to technical challenges.