About this AI Software Engineer Intern- Bastazo role at Acds
Acds · Remote · Bentonville, AR
Apprenticely is helping Bastazo hire a AI Developer for their Bentonville, Arkansas office. Intern must be based in Arkansas.
About the Role:
We are seeking highly motivated individuals interested in software engineering, artifi cial intelligence, and cloud computing. Interns will participate in the full software development lifecycle, contributing to both customer-facing features and cutting-edge AI research.
This internship provides hands-on experience building production-quality software while working with modern AI coding tools, cloud infrastructure, machine learning systems, and cybersecurity applications.
About Bastazo
Bastazo builds AI-driven cybersecurity software that helps critical infrastructure operators secure the operational technology systems that power the real world. Our platform helps organizations move from reactive defense to proactive risk reduction by combining machine learning, adversary intelligence, and attack path modeling to prioritize risk and guide effective remediation.
At Bastazo, we focus on making OT security actionable. Instead of adding more alerts, we help teams understand what matters most, what to fi x next, and how to reduce cyber risk without unnecessary operational disruption. Learn more at https://www.bastazo.com/
Responsibilities:
● Design, develop, test, and maintain full-stack web applications.
● Develop backend APIs and services using modern software engineering practices.
● Build responsive frontend interfaces using contemporary JavaScript frameworks.
● Utilize agentic AI development tools (e.g., Claude Code, Codex, GitHub Copilot, Cursor, or similar) to accelerate software development while maintaining high code quality.
● Design and implement AI-powered workfl ows, automation, and intelligent agents.
● Contribute to cloud-native application deployment and infrastructure. 1
● Assist with containerization, CI/CD pipelines, and DevOps automation.
● Support AI infrastructure, including model deployment, vector databases, retrieval systems, and GPU-enabled workloads.
● Participate in software testing, quality assurance, and code reviews.
● Collaborate with cybersecurity researchers to integrate AI into real-world security applications.
● Document software designs, APIs, and engineering processes.
● Develop backend APIs and services using modern software engineering practices.
● Build responsive frontend interfaces using contemporary JavaScript frameworks.
● Utilize agentic AI development tools (e.g., Claude Code, Codex, GitHub Copilot, Cursor, or similar) to accelerate software development while maintaining high code quality.
● Design and implement AI-powered workfl ows, automation, and intelligent agents.
● Contribute to cloud-native application deployment and infrastructure. 1
● Assist with containerization, CI/CD pipelines, and DevOps automation.
● Support AI infrastructure, including model deployment, vector databases, retrieval systems, and GPU-enabled workloads.
● Participate in software testing, quality assurance, and code reviews.
● Collaborate with cybersecurity researchers to integrate AI into real-world security applications.
● Document software designs, APIs, and engineering processes.
Preferred Qualifications:
Experience with one or more of the following is highly desirable:
● Full-stack web development (Django, FastAPI, React, Vue, Angular, or similar)
● REST APIs and microservice architectures
● SQL and NoSQL databases
● Docker and Kubernetes
● Linux system administration
● AWS, Microsoft Azure, or Google Cloud Platform
● Infrastructure as Code (Terraform, Ansible, or similar)
● Large Language Models (LLMs) and prompt engineering
● AI agent frameworks (LangGraph, LangChain, CrewAI, AutoGen, or similar)
● Retrieval-Augmented Generation (RAG), vector databases, and embeddings
● Machine learning using PyTorch, TensorFlow, or scikit-learn
● Deep Reinforcement Learning (DRL) concepts or implementation
● MLOps tools and model deployment
● Automated software testing and test-driven development
● Cybersecurity concepts and secure software development practices
● Full-stack web development (Django, FastAPI, React, Vue, Angular, or similar)
● REST APIs and microservice architectures
● SQL and NoSQL databases
● Docker and Kubernetes
● Linux system administration
● AWS, Microsoft Azure, or Google Cloud Platform
● Infrastructure as Code (Terraform, Ansible, or similar)
● Large Language Models (LLMs) and prompt engineering
● AI agent frameworks (LangGraph, LangChain, CrewAI, AutoGen, or similar)
● Retrieval-Augmented Generation (RAG), vector databases, and embeddings
● Machine learning using PyTorch, TensorFlow, or scikit-learn
● Deep Reinforcement Learning (DRL) concepts or implementation
● MLOps tools and model deployment
● Automated software testing and test-driven development
● Cybersecurity concepts and secure software development practices
Requirements:
How does the interview process work? We want to get to know you! Apprenticely will conduct an initial phone interview and knowledge assessment. If your skills and interest match with the employer's needs, we'll share your resume or ask you to apply directly with them. After that, the employers will continue with their recruiting and interview process. If you are a match, an offer will be made for you to get started in your new apprenticeship role! We'll be here to make sure your apprenticeship year goes smoothly and that you are set up for career growth and success!
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The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30
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