Forward Deployed Engineer - AI

Forward Deployed Engineer - AI

We are seeking a motivated and technically skilled AI 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

The Forward Deployed Engineer - AI will be responsible for:

• 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

<>Required Skills & Qualifications

• 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.

<>Preferred Skills

• 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.

<>Soft Skills

• 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.