Who We Are:
For enterprises struggling to secure cloud workloads, Aviatrix offers a single solution for pervasive cloud security. Where current cybersecurity approaches focus on securing entry points to a trusted space, Aviatrix Cloud Native Security Fabric (CNSF) delivers runtime security and enforcement within the cloud application infrastructure itself - closing gaps between existing solutions and helping organizations regain visibility and control. Aviatrix ensures security, cloud, and networking teams are empowering developer velocity, AI, serverless, and what's next. For more information, visit www.aviatrix.com.
About the Role :
We are looking for a talented and motivated Intern - Cloud Test Automation & AI with AI skills to work on cutting-edge research and development in Generative AI for automated test generation. The goal of this project is to design and implement systems that can generate high-quality test cases automatically based on natural language prompts provided by test designers. As an intern, you will collaborate with experienced engineers and researchers to explore innovative applications of large language models (LLMs) and prompt engineering techniques that can significantly improve test automation workflows.
Key Responsibilities
Develop and fine-tune generative AI models to convert human-written prompts into executable test cases.
Build data pipelines and evaluation frameworks for validating generated tests.
Experiment with prompt engineering and retrieval-augmented generation (RAG) techniques to improve output quality.
Collaborate with test engineering and AI platform teams to integrate prototypes into existing systems.
Document methodologies, experiments, and findings to support future development.
Required Qualifications
Currently pursuing a bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or related disciplines from a top-tier engineering college.
Strong academic record with coursework in machine learning, deep learning, and natural language processing.
Hands-on experience with generative AI models (e.g., OpenAI GPT models, LLaMA, Claude, or similar).
Proficiency in Python, GoLang and AI/ML frameworks such as PyTorch or TensorFlow.
Understanding of prompt engineering, LLM fine-tuning, or evaluation metrics for generated content.
Preferred Skills
Prior internship, research project, or publication in the field of Generative AI or NLP.
Experience with software testing, test case generation, or code understanding models.
Familiarity with cloud-based ML development environments (AWS, GCP, or Azure).
What We Offer
Opportunity to work on a high-impact problem at the intersection of AI and software testing automation.
Mentorship from experienced AI engineers and researchers.
Exposure to real-world development and integration of LLM-based solutions.
Competitive internship stipend and potential for full-time conversion based on performance.
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