AI Engineer (remote option)
About the position 14440 – AI Engineer (remote option) – Juno Beach, FL Start Date : ASAP Type: Temporary Project Estimated Duration : 12 months with possible extensions Work Setting: Onsite preferred; remote considered for highly qualified candidates Only candidates able to relocate as required should apply to avoid removal from future consideration. Required: Experience in software engineering, AI engineering, or related roles (3–5+ years) Experience with 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 Experience with source control and collaboration tools (e.g., GitHub) Experience with GenAI Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field from an ABET-accredited program Preferred: 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 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 Why apply? Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company; Work with a great team of professionals and learn newest technologies and approaches; Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation; Benefit from multiple projects extensions; Receive support and advice from Vitaver consultants who are already working at our Client’s site; Get extra cash by participating in Vitaver Successful Completion Bonus Program; Always get paid in full and on time.
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
Requirements
- Experience in software engineering, AI engineering, or related roles (3–5+ years)
- Experience with 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
- Experience with source control and collaboration tools (e.g., GitHub)
- Experience with GenAI
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field from an ABET-accredited program
Nice-to-haves
- 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
Benefits
- Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company
- Work with a great team of professionals and learn newest technologies and approaches
- Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation
- Benefit from multiple projects extensions
- Receive support and advice from Vitaver consultants who are already working at our Client’s site
- Get extra cash by participating in Vitaver Successful Completion Bonus Program
- Always get paid in full and on time
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