Junior Fullstack + AI Developer

CAV Corp.

United States

about 1 month ago

Role details

Contract type

Internship / Graduate position

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Web Development Python (Programming Language) PostgreSQL Machine Learning MongoDB Node.Js NoSQL

+19 more

Tensorflow Software Engineering Google Cloud Pytorch ReactJS Large Language Models Multi-Agent Systems Generative AI Backend Git Vue.js Containerization AngularJS Information Technology HuggingFace Front End Software Development Restful APIs Software Version Control Docker

Requirements

We’re seeking an enthusiastic and eager-to-learn Junior Fullstack + AI Developer to join our engineering team and help build and maintain features across our compliance automation platform. Success in this role includes contributing to both frontend and backend development while gaining hands-on experience integrating AI-powered capabilities into production features. The ideal candidate has a solid foundation in web development fundamentals, a genuine curiosity about applied AI and machine learning, and is excited to grow their skills in a fast-paced, mentorship-driven environment. We’re looking for someone who is coachable, detail-oriented, and energized by solving real problems alongside experienced engineers., * 02 years of professional experience in software development (internships, coops, and bootcamp projects count)

Working knowledge of a modern frontend framework such as React, Vue, or Angular
Familiarity with backend development in at least one language such as Python, Node.js, or Java
Basic understanding of RESTful APIs and how frontend and backend services communicate
Exposure to relational or NoSQL databases (e.g., PostgreSQL, MongoDB)
Genuine interest in AI/ML concepts, LLMs, or generative AI tools, even without production experience
Strong problemsolving skills and eagerness to learn new technologies quickly
Good written and verbal communication skills, with comfort asking questions and seeking feedback
Comfortable working autonomously in fastpaced, ambiguous, and crossfunctional environments, * Coursework, personal projects, or bootcamp work involving AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
Exposure to AI orchestration tools or frameworks such as LangChain, OpenAI APIs, or vector databases
Familiarity with version control (Git) and collaborative development workflows
Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud

Interest in cybersecurity, compliance, or GRC technology

Familiarity with containerization concepts (Docker) or CI/CD pipelines
A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience (bootcamp graduates welcome)
A growth mindset and desire to be mentored by senior engineers while contributing real value early on