AI Forward Deployed Engineer / Generative AI Implementation Engineer

• 1 2 years of professional experience in IT, software engineering, software development, automation, systems integration, or a related technical field.
• Must be located in or near Juno Beach, FL, or be willing to relocate before the start date at their own expense.
• Must be available to work onsite beginning on Day 1. Remote work, hybrid arrangements, and phased remote onboarding are not available.
• Hands-on experience with, or a strong working knowledge of, AI coding assistants and developer tools such as Devin, Windsurf, Claude Code, GitHub Copilot, or similar technologies.
• Understanding of Model Context Protocol (MCP) architecture, including experience building, configuring, integrating, or consuming MCP servers and clients.
• Practical experience with secure tunneling and connectivity technologies, including ngrok, Cloudflare Tunnel, SSH tunneling, SSH port forwarding, or similar tools.
• Strong proficiency in Python, including scripting, automation, API integration, and development of custom integration solutions.
• Exposure to LLM adaptation or fine-tuning techniques, including LoRA, PEFT, prompt tuning, dataset preparation, model evaluation, or related approaches.
• Working knowledge of Git and GitHub, including source control, branching, pull requests, and collaborative development workflows.
• Foundational understanding of REST APIs, webhooks, authentication methods, and system integrations.
• Familiarity with cloud environments and services, including AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
• Strong troubleshooting, debugging, analytical, and problem-solving skills.

Preferred Qualifications

• Experience with containerization technologies such as Docker.
• Familiarity with CI/CD pipelines and modern software delivery practices.
• Exposure to vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
• Experience with prompt engineering, AI agents, agentic workflows, or multi-agent systems.
• Previous experience working in a client-facing, consulting, implementation, solutions engineering, or technical support role.
• Experience rapidly developing and deploying prototypes or proof-of-concepts in fast-paced environments.

Key Competencies

• Strong verbal and written communication skills, with the ability to collaborate effectively with client stakeholders and technical teams.
• Comfortable working independently and taking ownership in ambiguous, fast-paced, and evolving environments.
• Strong client-service mindset with the ability to understand technical requirements and translate them into practical solutions.
• Ability to troubleshoot and resolve live technical issues effectively while working under client timelines and expectations.
• Highly curious and adaptable, with a strong interest in continuously learning emerging AI technologies and development tools.
• Demonstrates creativity and fresh thinking by identifying innovative approaches to complex client challenges.
• Ability to balance speed, technical quality, security, and usability when developing and deploying solutions.