Engineer- AI Application Engineering

Job Title: Engineer- AI Application Engineering
Job Location: Juno Beach FL

Job Type: Long-term Contract

Job Title: AI Engineer II

We are shaping the future of energy at a scale that few companies ever reach. We help power millions of people and businesses through a system that must be reliable every second of every day-while continuously evolving to meet what comes next. Our work spans clean energy generation and the modernization of critical infrastructure with real-world consequences and longtime horizons. The challenges are complex the impact is tangible and the results matter. If youre motivated by meaningful problems long-term thinking and the chance to help build something that lasts youll find that opportunity here.

Job Overview

The AI Engineer II will design build and deliver production-grade generative AI applications that solve real business problems across innovation and pilot initiatives. This role is highly hands-on and ownership-driven with responsibility spanning concept architecture implementation and production deployment.

You will operate with a high degree of independence acting as an end-to-end engineer who translates business needs into scalable GenAI solutions. The role emphasizes application engineering system design and enterprise readiness rather than traditional data science or model training.

Technologies of interest include (but are not limited to): large language models (LLMs) automation cloud platforms agentic workflows solar PV energy storage transmission and wind.

Key Responsibilities

• Design and deliver generative AI applications that address real operational and business challenges from concept through production
• Translate business requirements into GenAI system architectures selecting appropriate models tools and integration patterns
• Build and maintain full-stack applications including LLM-powered tools internal platforms and APIs
• Implement LLM integrations using approaches such as RAG prompt engineering tool calling and API-based workflows
• Balance rapid experimentation with enterprise-grade reliability security and governance
• Apply DevOps best practices to support CI/CD monitoring and scalable cloud deployments
• Collaborate with engineering IT and business stakeholders while owning technical execution independently
• Evaluate and prototype emerging GenAI tools and platforms for potential business impact
• Clearly communicate technical concepts tradeoffs and recommendations to nontechnical stakeholders
• Stay current with evolving GenAI capabilities internal initiatives and industry trends

Required Qualifications

• Bachelors degree in Computer Science Information Technology Engineering or a related field from an ABET-accredited program
• 3 5 years of professional experience in software engineering AI engineering or related roles
• Strong proficiency in Python
• Experience building and shipping production software systems
• Full-stack development experience (frontend and backend)
• Experience with cloud platforms (AWS Azure or GCP) and modern cloud architectures
• DevOps experience including CI/CD pipelines containerization and deployment automation
• Experience designing and consuming APIs following industry best practices
• Proficiency with source control and collaboration tools (e.g. GitHub)
• Strong problem-solving communication and systems-thinking skills
• Ability to operate effectively and independently within a large complex enterprise environment

Preferred Qualifications

• Hands-on experience building LLM-powered applications
• Experience with agentic or orchestration frameworks (e.g. LangChain LangGraph AutoGen or similar)

Experience with the energy sector utilities or industrial systems