Description

Embed with client engineering teams in Juno Beach to deploy, integrate, and optimize AI development tools and custom automation solutions.

This role is on-site.

Responsibilities

• Configure and troubleshoot AI coding assistants (Devin, Windsurf, Claude Code, GitHub Copilot) within client environments.
• Build and configure Model Context Protocol (MCP) servers and clients to connect AI agents with internal tools, databases, and APIs.
• Write Python scripts and glue code to bridge AI agents with client-specific systems and automate workflows.
• Set up secure tunnelling solutions (ngrok, Cloudflare Tunnel, SSH) to enable safe access between client infrastructure and external tools.
• Assist in fine-tuning LLMs using techniques like LoRA or PEFT and document integrations for client enablement.

Required Skills

• 1–2 years of professional software engineering experience with proficiency in Python.
• Practical understanding of MCP (Model Context Protocol) architecture for building or consuming servers.
• Experience with tunnelling tools such as ngrok, Cloudflare Tunnel, or SSH port-forwarding.
• Familiarity with LLM fine-tuning techniques including dataset preparation and evaluation.
• Working knowledge of Git/GitHub workflows, version control, and REST APIs.
• Basic understanding of cloud environments (AWS, Azure, or GCP) and webhooks.

Preferred Skills

• Experience with containerization (Docker), CI/CD pipelines, and vector databases/RAG pipelines.
• Prior client-facing or consulting experience with prompt engineering and agentic workflows.

Key Skills

Education

Bachelor's degree