Junior Software Development Engineer

WEX; United States; Remote; USD 65,000 - 85,000; Full time

Job summary

A leading technology company is looking for an Entry-Level Engineer to integrate AI into the software development lifecycle. This role involves enabling teams to use AI tools, contributing to AI-driven DevOps solutions, and is perfect for candidates eager to grow in a fast-paced environment.

Qualifications

• Solid foundation in AI/ML concepts and DevOps principles.
• Proficiency in programming languages like Python, JavaScript, Java, or Dotnet.
• Basic knowledge of cloud platforms and CI/CD tools.

Responsibilities

• Assist in evaluating and implementing AI development tools.
• Develop documentation, tutorials, and demos for adoption of new tools.
• Contribute code to design and construct AI-driven automation.

Skills

Problem-solving

Communication

Collaboration

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

Docker

Kubernetes

Terraform

Ansible

Job description

About the Team/Role

This position is designed for an entry-level engineer focused on integrating AI into the software development lifecycle. The core mission involves both enabling other teams to use AI services and actively building automated, intelligent systems to improve our development operations.

We are seeking a forward-thinking and collaborative Entry-Level Engineer to join our dedicated team. This role offers a unique opportunity to make a significant impact by helping our development teams adopt cutting-edge AI tools and by contributing directly to the creation of innovative, AI-powered agentic DevOps solutions. If you are passionate about the intersection of artificial intelligence and software engineering and are eager to grow your skills in a fast-paced environment, we encourage you to apply.

How you'll make an impact

• AI Enablement: Assist in evaluating, implementing, and supporting AI development tools for other teams.

• Content Creation: Develop documentation, tutorials, and demos to accelerate the adoption of these new tools.

• Agentic DevOps Development: Contribute code and ideas to the design and construction of AI-driven automation for our development pipelines.

• Automation & Scripting: Write scripts to automate infrastructure and development-related tasks, working within a cloud environment.

Experience you'll bring

• Education: A Bachelor's degree in Computer Science, Engineering, or a related field.

• Core Knowledge: A solid foundation in AI/ML concepts and DevOps principles.

• Programming: Proficiency in a language like Python, JavaScript, Java, or Dotnet.

• Technical Familiarity: Basic knowledge of cloud platforms (AWS, Azure) and CI/CD tools.

• Soft Skills: Strong problem-solving abilities and excellent communication skills with a desire to help others learn.

Preferred Additional Skills:

• Experience with containerization (Docker, Kubernetes).

• Knowledge of Infrastructure as Code (Terraform, Ansible).