AI Engineer

Siemens Energy

Orlando (FL)

On-site

USD 80,000 - 105,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Career growth and development opportunities

Supportive work culture

Company paid Health and wellness benefits

Paid Time Off and paid holidays

401K savings plan with company match

Family building benefits

Parental leave

Job summary

A leading technology firm in Orlando, Florida seeks a Full-Stack Engineer to innovate and develop LLM-powered applications. The role involves full lifecycle AI solutions, from prototyping to deployment and support. Key qualifications include experience in Python, AI/ML frameworks, and cloud platforms. This is an exciting opportunity to enhance engineering processes through cutting-edge technology while working in a supportive environment.

Qualifications

2-5 years of experience in full-stack software development or AI/ML engineering.
Proven experience developing applications with Python and AI/ML frameworks.
Strong analytical and troubleshooting skills in a collaborative environment.

Responsibilities

Design, build, and deploy robust full-stack applications integrating front-end and AI services.
Collaborate with stakeholders to identify opportunities for LLM-based applications.
Provide ongoing technical support for deployed AI applications.

Skills

Python

AI/ML frameworks

Software engineering

Front-end development

Cloud platforms (AWS/Azure)

Education

Bachelor's degree in mechanical or aerospace engineering

Tools

React

DevOps practices

Job description

A Snapshot of Your Day

This role is a new addition to the Tools and Data Applications team within Gas Services Engineering, 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. The ideal candidate brings hands‑on experience as a full‑stack engineer with a strong foundation in AI/ML, including proficiency in Python, experience with LLM frameworks, and a solid understanding of the software development lifecycle, cloud platforms, and production support of enterprise applications.

How You’ll Make An Impact

40% Full-Stack Development and Integration

Design, build, and deploy robust, scalable full-stack applications, integrating front-end interfaces with back-end LLM services.
Develop and manage APIs to ensure seamless integration of AI models into existing engineering platforms and workflows.
Implement and manage CI/CD pipelines to automate the testing and deployment of applications.
Collaborate with and guide external contractors on specific development tasks, ensuring alignment with project standards and timelines.

30% AI Application Strategy and Prototyping

Collaborate with engineering stakeholders to identify and evaluate opportunities for new LLM-based applications that address business needs.
Translate user requirements and process challenges into technical specifications for AI-powered tools and service assistants.
Develop proof-of-concept models and rapid prototypes to validate the feasibility and potential impact of new application ideas.

30% Application Support and Lifecycle Management

Provide ongoing technical support for deployed AI applications, performing troubleshooting and resolving reported issues.
Monitor application performance, reliability, and user feedback to identify and implement continuous improvements and optimizations.
Create and maintain comprehensive documentation for application architecture, codebases, and operational procedures.

What You Bring

Bachelor's degree in mechanical or aerospace engineering or a related technical field.
2-5 years of experience in full-stack software development or AI/ML engineering.
Proven experience developing and deploying applications using Python and modern AI/LLM frameworks.
Artificial Intelligence: Hands‑on experience with large language models, generative AI, NLP, and machine learning, including practical use of frameworks and patterns such as LangChain, Model Context Protocol, and agentic workflows.
Software & Cloud Engineering: Strong software engineering experience with proficiency in Python, API development, and full‑stack application design, including deployment and support on AWS and Azure, DevOps practices, and modern front‑end frameworks such as React.
Professional Abilities: Strong analytical and troubleshooting skills with a collaborative, team‑oriented approach to solving complex problems.
Azure Solutions Architect Expert certification would be a plus

Export Control Requirement:

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

About The Team

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo

Rewards/Benefits