Junior AI Engineer

Junior AI Engineer - Enterprise Contact Center

Location: Charlotte, NC – Hybrid (3x per week onsite in Uptown Charlotte Office)

Experience Level: 0-1 Years

Work Authorization: We are unable to provide sponsorship currently.

Brooksource's Fortune 200 digital banking partner is looking for Junior AI Engineers to support AI-driven initiatives across their enterprise contact center. The team builds and maintains intelligent systems that enhance the agent experience, streamline workflows, and power emerging AI-assisted capabilities. This team works across agent-facing tools, backend services, LLM-powered applications, in-house models, web extensions, and API development to support real-time and post-call operations.

As the organization expands, we are adding a Junior AI Engineer to support new AI projects, model development, backend engineering, and cloud-based services. This role offers the opportunity to learn from highly experienced engineers, work in an Agile environment, and contribute to next-generation agent-assist capabilities.

What You’ll Do

Contribute to AI-driven projects within the C3 Space, supporting agent-focused applications including call summaries, AgentAssist tools, and AI-driven extensions.

Collaborate with senior engineers on Python-based development, including multithreading, backend logic, and model-driven workflows.

Assist in developing, maintaining, and optimizing in-house AI/ML models, alongside large language model (LLM) integrations.

Support web-based initiatives including front-end extensions, internal tools, browser-based (Wixy) interfaces, and supporting APIs.

Participate in backend development using modern engineering practices to support Strata and other contact-center platforms.

Work with cloud-based infrastructure across any major cloud provider (AWS, Azure, or GCP).

Contribute to Agile ceremonies and collaborate closely with engineers across multiple squads as the team scales into two dedicated groups.

Learn, iterate, and quickly ramp up on new tools, languages, and AI frameworks within a supportive, growth-oriented environment.

Required Skills & Qualifications

Programming: Strong proficiency in Python (must-have).

AI Code Assist Tools: Claude or Gemini

Additional Languages: Exposure to or experience with JavaScript/TypeScript.

AI/ML Interest: Academic, personal, or project-based experience in AI, ML, generative AI, or data science.

Backend Foundations: Understanding of backend development concepts; hands-on experience building backend systems is a strong plus.

Cloud Knowledge: Familiarity with at least one cloud platform (AWS, Azure, or GCP).

API Fundamentals: Ability to work with RESTful APIs and modern integration patterns.

Collaboration: Strong attitude, aptitude, willingness to learn, and desire to grow rapidly in a fast-moving AI environment.

Preferred Skills

Experience with multithreading in Python.

Exposure to intelligent automation or business process automation.

Familiarity with CI/CD concepts and DevOps pipelines.

Experience building small applications, browser extensions, or web-based tools.

Academic or personal projects showcasing AI/ML or backend engineering skills.

Who Thrives in This Role

Have strong curiosity and self-driven learning habits

Demonstrate aptitude in Python and AI fundamentals

Want exposure to end-to-end AI product engineering

Learn quickly and are excited to contribute to an evolving, highly technical team

The team values attitude, effort, and problem-solving ability just as much as professional experience.