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VGAI Solutions Inc

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Research & Development Engineer 1 – AI Application Engineer (Agentic AI / ML)

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Description

We are looking for a motivated and hands-on AI Application Engineer to join an R&D team working on innovative AI-driven solutions. The ideal candidate will have a software development background with practical experience in AI/ML application development, open-source AI models, and emerging technologies such as Agentic AI and Large Language Models (LLMs).

This role is suitable for an early-career engineer who has hands-on experience building AI-powered applications, experimenting with AI models, and working with modern AI frameworks and inference technologies.

Key Responsibilities

  • Develop and enhance AI-powered applications using open-source AI models and frameworks.
  • Explore and implement Agentic AI and Machine Learning solutions.
  • Work with AI models, including model integration, fine-tuning, and experimentation.
  • Support AI inference and model deployment using modern frameworks.
  • Experiment with reinforcement learning and model optimization techniques.
  • Develop software scripts and application components using Python, Java, or similar programming languages.
  • Evaluate emerging AI technologies, frameworks, and tools for potential R&D applications.
  • Collaborate with cross-functional engineering teams to develop, test, and improve AI-based solutions.
  • Document technical findings, experiments, and development outcomes.

Required Skills & Experience

  • 1–2 years of experience in software engineering, AI/ML, or application development.
  • Strong programming or scripting experience in Python, Java, or similar languages.
  • Hands-on experience developing AI/ML-powered applications.
  • Familiarity with open-source AI models and LLMs.
  • Understanding of Agentic AI concepts and Machine Learning fundamentals.
  • Familiarity with AI model inference and deployment.
  • Exposure to AI frameworks and tools such as:
  • PyTorch
  • vLLM
  • SGLang
  • Other open-source AI/ML frameworks
Familiarity with model fine-tuning and reinforcement learning concepts.

Education Requirements

  • Master's degree in a relevant technical field with AI/ML experience; OR
  • Bachelor's degree in Computer Science, Engineering, or a related discipline, with relevant software development and AI experience.

Preferred Qualifications

  • Experience building AI-powered applications using open-source models.
  • Exposure to LLM application development and Agentic AI workflows.
  • Familiarity with model fine-tuning, reinforcement learning, and AI inference optimization.
  • Hands-on experience with modern AI development frameworks.

Important Notes

  • This position supports an AI-focused R&D project.
  • Candidates must have a software development background.
  • Onsite availability in San Jose, CA, is strongly preferred.

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