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AI Engineer II

VDart Inc

Job Title: AI Engineer II


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 DevOps-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.
Key Responsibilities


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
Full-Stack Engineering & System Design
  • 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
Cloud, DevOps & Production Readiness
  • 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 DevOps best practices for enterprise-grade delivery
Stakeholder Collaboration & Communication
  • 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
Required Qualifications
  • 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 DevOps 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
Preferred Qualifications
  • Experience building LLM-powered applications
  • Experience with agentic/orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or similar)
  • Exposure to GenAI use cases such as RAG and tool-calling architectures
  • Experience in energy, utilities, or industrial domain environments
Vacancy posted 2 days ago
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