AI Engineer II
Job in
North Palm Beach, Palm Beach County, Florida, 33408, USA
Listed on 2026-06-02
Listing for:
VDart
Seasonal/Temporary
position Listed on 2026-06-02
Job specializations:
-
Software Development
AI Engineer, Cloud Engineer - Software, Full Stack Developer
Job Description & How to Apply Below
Job Location:
Juno Beach, FL(Remote)
Job Type: Long Term Contract
Job Description:
- We are seeking a highly hands-on AI Engineer II to design, build, and deploy production-grade Generative AI applications that solve real business and operational challenges. This role is focused on end-to-end application engineering-from concept and architecture through development and production deployment.
- The ideal candidate will be a strong software engineer with experience building scalable systems and integrating LLM-based solutions into enterprise environments. The role emphasizes full-stack development, cloud-native architecture, and Dev Ops-driven delivery, rather than model training or traditional data science work.
- You will work on building LLM-powered applications, internal tools, APIs, and automation workflows, leveraging modern GenAI techniques such as RAG, prompt engineering, tool calling, and agentic/orchestration frameworks. The role requires balancing rapid experimentation with enterprise-grade reliability, security, and scalability.
- This is a high-ownership engineering role where you will independently translate business needs into working AI systems and collaborate with cross-functional stakeholders across engineering and business teams.
GenAI Application Development
- Design and build generative AI applications from concept to production deployment
- Translate business requirements into scalable GenAI system architectures
- Develop LLM-powered tools, APIs, internal platforms, and automation workflows
- Implement solutions using RAG, prompt engineering, tool calling, and orchestration frameworks
- Prototype and evaluate emerging GenAI tools for business applicability
- Build and maintain full-stack applications (frontend and backend)
- Design scalable, secure, and maintainable system architectures
- Develop and consume APIs following best practices
- Ensure integration of AI components into enterprise applications
- Deploy applications on cloud platforms (AWS, Azure, or GCP)
- Implement CI/CD pipelines, containerization, and deployment automation
- Ensure monitoring, scalability, and reliability of production systems
- Apply Dev Ops best practices for enterprise-grade delivery
- Collaborate with engineering and business stakeholders to define solutions
- Communicate technical tradeoffs and architecture decisions clearly
- Independently own end-to-end technical execution of projects
- Stay current with evolving GenAI technologies and industry trends
- 3-5+ years of professional experience in software engineering or AI engineering
- Strong proficiency in Python
- Full-stack development experience (frontend + backend)
- Experience building and deploying production software systems
- Strong cloud experience (AWS, Azure, or GCP)
- Experience with CI/CD pipelines, containerization, and Dev Ops practices
- Strong API design and integration experience
- Proficiency with Git and modern development workflows
- Strong problem-solving and systems thinking skills
- Ability to work independently in large enterprise environments
- Experience building LLM-powered applications
- Experience with agentic/orchestration frameworks (e.g., Lang Chain, Lang Graph, Auto Gen, or similar)
- Exposure to GenAI use cases such as RAG and tool-calling architectures
- Experience in energy, utilities, or industrial domain environments
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