Intern - Cloud Test Automation & AI at Aviatrix

, , -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Security, Generative AI, Test Automation, Natural Language Processing, Machine Learning, Deep Learning, Python, GoLang, PyTorch, TensorFlow, Prompt Engineering, LLM Fine-Tuning, Data Pipelines, Evaluation Frameworks, Software Testing, Cloud-Based ML Development

Industry

Description

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. BENEFITS US: We cover 100% of employee premiums and 88% of dependent(s) premiums for medical, dental and vision coverage, 401(k) match, short and long-term disability, life/AD&D insurance, $1,000/year education reimbursement, and a flexible vacation policy. Outside the US: We offer a comprehensive benefits package which, (subject to regional variations) could include pension, private medical for you and dependents, generous holiday allowance, life assurance, long-term disability, annual wellbeing stipend Your total compensation package will be based on job-related knowledge, education, certifications and location, per our aligned ranges. About Aviatrix Aviatrix® is the cloud network security company trusted by more than 500 of the world’s leading enterprises. As cloud infrastructures become more complex and costly, the Aviatrix Cloud Network Security platform gives companies back the power, control, security, and simplicity they need to modernize their cloud strategies. Aviatrix is the only secure networking solution built specifically for the cloud, that ensures companies are ready for AI and what’s next. Combined with the Aviatrix Certified Engineer (ACE) Program, the industry’s leading secure multicloud networking certification, Aviatrix unifies cloud, networking, and security teams and unlocks greater potential across any cloud. WE WANT TO INCLUDE YOU We embrace the fact that not everyone’s journey took the same route or started at the same place. If your experience doesn’t quite meet the requirements but the opportunity excites you and you believe you could be great, don’t let that hold you back from applying. Tell us what you CAN bring and what makes you special. Aviatrix is a community where everyone's career can grow and we want to help you achieve your goals and be “your best YOU,” however that looks. If you're seeking an opportunity where you can be excited to start work every morning with enthusiastic people, make a real difference and be part of something amazing then let’s talk. We want to get to know you and how we could grow together. Aviatrix, Inc. is an equal opportunity employer and does not make hiring decisions based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. CPRA - California Applicant Privacy Notice

Responsibilities

Develop and fine-tune generative AI models to convert human-written prompts into executable test cases. Collaborate with test engineering and AI platform teams to integrate prototypes into existing systems.