Are you passionate about artificial intelligence, developer productivity, and solving complex technical challenges directly alongside customers? This Forward Deployed Engineer opportunity offers the chance to work at the intersection of AI, software engineering, and client engagement while helping organizations adopt cutting-edge AI-powered development tools.

This is an onsite position based in Juno Beach, Florida, where you will collaborate directly with engineering teams to deploy AI solutions, integrate intelligent developer tools, and accelerate software delivery through automation and modern engineering practices.

As a Forward Deployed Engineer, you will become a trusted technical partner for customers by embedding yourself within their engineering environments, understanding business challenges, and rapidly delivering practical AI-powered solutions that improve productivity.

If you enjoy working with emerging AI technologies, solving real-world engineering problems, and building solutions that have an immediate business impact, this opportunity could be an excellent next step in your career.

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Job Overview

Position

Forward Deployed Engineer

Location

Juno Beach, Florida

Work Model

Onsite from Day One

Experience

Overall IT experience preferred with at least 1 to 2 years of professional experience working directly with software engineering teams in client-facing environments.

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About the Team

The engineering team focuses on integrating AI-powered development platforms into enterprise environments. Rather than building products in isolation, Forward Deployed Engineers work closely with customer engineering organizations to understand workflows, identify bottlenecks, and deploy customized AI solutions that improve software development processes.

The work combines software engineering, artificial intelligence, cloud integration, automation, rapid prototyping, and technical consulting.

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Key Responsibilities of the Forward Deployed Engineer

Client Embedding

Collaborate onsite with engineering teams to understand existing software development workflows, identify technical challenges, and recommend AI-driven improvements.

Deploy AI Coding Platforms

Configure and optimize modern AI developer tools including:

• Devin
• Windsurf
• Claude Code
• GitHub Copilot
• Similar AI-assisted coding platforms

Build MCP Integrations

Develop and configure Model Context Protocol (MCP) servers and clients that allow AI agents to communicate with enterprise tools, APIs, documentation platforms, and internal databases.

Secure Infrastructure Connectivity

Implement secure communication between AI platforms and enterprise systems using technologies such as:

• ngrok
• Cloudflare Tunnel
• SSH Tunnels
• Secure networking solutions

Python Development

Create Python scripts and automation tools that integrate AI agents with internal business systems and engineering workflows.

Large Language Model Optimization

Support adaptation of enterprise LLMs using techniques including:

• LoRA
• PEFT
• Prompt tuning
• Dataset preparation
• Model evaluation

Rapid Solution Development

Build proof of concepts quickly, demonstrate solutions to stakeholders, gather feedback, and iterate rapidly.

Documentation

Create technical documentation covering deployments, integrations, architecture decisions, and best practices.

Customer Enablement

Train engineering teams on effectively using deployed AI platforms while promoting long-term adoption.

Product Feedback

Work closely with engineering and product teams to communicate customer insights that influence future product development.

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Required Skills for the Forward Deployed Engineer Position

Software Engineering

Candidates should possess practical software engineering experience with Python and automation.

AI Developer Tools

Hands-on experience with one or more of the following:

• GitHub Copilot
• Claude Code
• Devin
• Windsurf
• Comparable AI coding assistants

Model Context Protocol

Knowledge of MCP architecture and experience building or consuming MCP servers is highly desirable.

API Development

Experience integrating applications using REST APIs, webhooks, and modern API architectures.

Cloud Platforms

Basic understanding of cloud environments including:

• AWS
• Microsoft Azure
• Google Cloud Platform

Secure Networking

Experience configuring:

• Cloudflare Tunnel
• ngrok
• SSH Port Forwarding
• Secure connectivity solutions

Version Control

Experience using Git and GitHub within collaborative software development environments.

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Preferred Qualifications

Candidates with any of the following qualifications will stand out:

Containerization

Experience working with Docker.

CI/CD

Knowledge of modern DevOps pipelines.

Retrieval Augmented Generation

Understanding of RAG architectures and vector databases.

Client Consulting

Previous experience working directly with enterprise customers.

Prompt Engineering

Experience creating effective prompts and agent workflows.

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Soft Skills

Successful candidates should demonstrate:

Strong Communication

Ability to explain technical concepts clearly to customers and stakeholders.

Independent Problem Solving

Comfort working independently while handling rapidly changing priorities.

Curiosity

A genuine passion for exploring emerging AI technologies and learning continuously.

Customer Focus

A commitment to delivering practical business outcomes through technology.

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Why Consider This Opportunity?

This role offers exposure to some of today’s fastest-growing areas within software engineering and artificial intelligence.

You will gain hands-on experience deploying enterprise AI platforms while working directly with customer engineering teams. Instead of building isolated features, you will influence how organizations adopt AI across software development, automation, and engineering operations.

If you enjoy solving technical challenges, learning rapidly, and working on modern AI initiatives, this opportunity provides exceptional professional growth.

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Ready to Apply?

If your background aligns with this Forward Deployed Engineer opportunity and you’re excited about helping organizations deploy AI-powered engineering solutions, now is the perfect time to apply.

Check out other positions: https://rishiwrites.com/jobs

Let’s discuss your next career move: https://www.linkedin.com/in/rishi-balgotra-career-expert/

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Frequently Asked Questions

1. What does a Forward Deployed Engineer do?

A Forward Deployed Engineer works directly with clients to deploy software solutions, integrate AI platforms, and solve technical challenges in production environments.

2. Is this an onsite role?

Yes. This position requires working onsite in Juno Beach, Florida from Day One.

3. Is remote work available?

No. This is a fully onsite opportunity.

4. What programming language is most important?

Python is the primary programming language, although familiarity with APIs and automation is equally valuable.

5. Which AI tools are used?

The role includes GitHub Copilot, Devin, Windsurf, Claude Code, and similar AI coding assistants.

6. What is MCP?

MCP stands for Model Context Protocol, a framework that enables AI agents to securely communicate with enterprise systems and tools.

7. Is cloud experience required?

Basic knowledge of AWS, Azure, or Google Cloud Platform is expected.

8. Are Docker skills required?

Docker experience is preferred but not mandatory.

9. Will I work directly with customers?

Yes. This is a highly client-facing engineering position.

10. What type of APIs should I understand?

REST APIs, webhooks, and API integrations are important for this role.

11. Is experience with LLMs necessary?

Exposure to LLM fine tuning, prompt engineering, or AI workflows is preferred.

12. What soft skills are important?

Communication, adaptability, customer engagement, and problem-solving are essential.

13. Is consulting experience valuable?

Yes. Previous client-facing consulting experience is considered a strong advantage.

14. What industries can apply?

Candidates from software engineering, AI, cloud engineering, DevOps, automation, and consulting backgrounds are encouraged to apply.

15. What makes someone successful in this role?

Successful engineers combine technical expertise, customer communication, rapid learning, and the ability to deploy AI solutions in real-world environments.