About the Role
We are looking for a Forward Deployed Engineer (FDE) with 1-2 years of IT experience to work directly with clients, embedding AI-powered developer tools and custom solutions into their existing workflows. This is a hands-on, client-facing technical role blending software engineering, AI tooling expertise, and rapid solution deployment.
Key Responsibilities
- Client Embedding: Work onsite with client engineering teams in Juno Beach to understand workflows, pain points, and integration requirements.
- AI Coding Tool Deployment: Configure, customize, and troubleshoot AI development tools such as Devin, Windsurf, Claude Code, and GitHub Copilot within client environments.
- MCP Integration: Build and configure Model Context Protocol (MCP) servers/clients to connect AI agents with internal tools, databases, and APIs.
- Secure Connectivity: Set up and manage tunnelling solutions (e.g., ngrok, Cloudflare Tunnel, SSH tunnels) to enable secure access between client infrastructure and external tools/agents.
- Custom Tooling: Write Python scripts, automation, and glue code to bridge AI agents with client-specific systems.
- LLM Fine-Tuning: Assist in fine-tuning or adapting LLMs (e.g., LoRA, PEFT, prompt-tuning) to improve performance on client-specific tasks and datasets.
- Rapid Prototyping: Quickly build proof-of-concepts and iterate based on direct client feedback.
- Documentation & Enablement: Document integrations and train client teams on effective use of deployed AI tools.
- Feedback Loop: Relay client requirements and friction points back to the product/engineering team to influence roadmap.
Required Skills & Experience
- 1-2 years of professional IT/software engineering experience.
- Must be local to Juno Beach, FL or willing to relocate at own expense before start date - no remote work, no relocation assistance implied unless stated otherwise.
- Available to start onsite from Day 1 - no phased/remote ramp-up.
- Working knowledge of AI coding assistants: Devin, Windsurf, Claude Code, GitHub Copilot, or similar.
- Understanding of MCP (Model Context Protocol) architecture - building or consuming MCP servers.
- Practical experience with tunnelling tools (ngrok, Cloudflare Tunnel, SSH port-forwarding, or similar).
- Proficient in Python - scripting, automation, API integration.
- Exposure to LLM fine-tuning techniques (LoRA/PEFT, dataset preparation, evaluation).
- Familiarity with Git/GitHub workflows and version control.
- Basic understanding of REST APIs, webhooks, and cloud environments (AWS/Azure/GCP).
Preferred / Nice-to-Have
- Experience with containerization (Docker) and CI/CD pipelines.
- Exposure to vector databases and RAG (Retrieval-Augmented Generation) pipelines.
- Prior client-facing or consulting experience.
- Familiarity with prompt engineering and agentic workflows.
Soft Skills
- Strong communication skills for direct client interaction.
- Comfortable working independently in ambiguous, fast-paced environments.
- Problem-solver mindset - able to debug live issues under client pressure.
- Curious to learn new things and exhibit fresh ideas - stays current with fast-evolving AI tooling and brings innovative approaches to client problems.
What We Offer
- Direct exposure to cutting-edge AI tooling and enterprise deployments.
- Mentorship from senior engineers on AI infrastructure and client delivery.