Full Stack AI Engineer

Full Stack AI Engineer

3 days Hybrid in orlando

Skills: Python React Azure

AI/ML Full-Stack Engineer Gas Services Engineering

About the Role

This role is a new addition to a Gas Services Engineering Team focused on driving innovation through the development of LLM-powered applications that enhance internal engineering processes.

The position spans the full lifecycle of AI solutions from identifying high-value use cases and rapid prototyping to full-stack development cloud deployment and long-term application support.

The role is centered on three core areas: AI application strategy and prototyping full-stack development and system integration and application support and lifecycle management.

Key Responsibilities

Full-Stack Development & Integration (40%)

Design build and deploy scalable full-stack applications integrating front-end interfaces with back-end LLM services.

Develop and manage APIs to integrate AI models into existing engineering platforms and workflows.

Implement and manage CI/CD pipelines to automate testing and deployment.

Collaborate with and guide external contractors to ensure alignment with standards and timelines.

AI Application Strategy & Prototyping (30%)

Partner with engineering stakeholders to identify opportunities for LLM-based applications.

Translate business requirements into technical specifications for AI solutions.

Develop proof-of-concept models and prototypes to validate feasibility and impact.

Application Support & Lifecycle Management (30%)

Provide ongoing support and troubleshooting for deployed AI applications.

Monitor performance and implement optimizations based on feedback and metrics.

Maintain documentation for architecture code and operational procedures.

Qualifications

Bachelors degree in a technical field (Mechanical or Aerospace Engineering preferred not required).

2 5 years of AI/ML engineering experience (more experienced candidates may be considered for senior roles).

Experience developing and deploying applications using Python and modern AI/LLM frameworks.

Hands-on experience with large language models (LLMs) generative AI NLP and machine learning.

Familiarity with frameworks such as LangChain Model Context Protocol and agentic workflows.

Proficiency in Python API development and application design.

Experience with AWS and/or Azure for deployment and support.

Understanding of DevOps practices.

Experience with modern front-end frameworks such as React.