Junior AI Engineer - Enterprise Contact Center
Charlotte, NC – Hybrid (3x per week onsite in Uptown Charlotte Office)
Hybrid Role
Experience Level: 0-1 Years
Work Authorization: We are unable to provide sponsorship currently.

ABOUT THE ROLE

Our Client’s C3 Space supports AI-driven initiatives across the enterprise contact center, building and maintaining intelligent systems that enhance the agent experience, streamline workflows, and power emerging AI-assisted capabilities. The 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 entry-level role is ideal for candidates with 0-1 years of experience who are eager to contribute to AI-driven projects that enhance agent experiences and streamline workflows. The position offers the opportunity to learn from highly experienced engineers, work in an Agile environment, and contribute to next-generation agent-assist capabilities. You will be part of a supportive, growth-oriented environment, making it well-suited for early-career engineers passionate about AI and rapid professional development.

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 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

WHAT YOU BRING

• Strong proficiency in Python programming (must-have)
• Exposure to or experience with JavaScript/TypeScript
• Academic, personal, or project-based experience in AI, ML, generative AI, or data science
• Understanding of backend development concepts; hands-on experience building backend systems is a strong plus
• Familiarity with at least one cloud platform (AWS, Azure, or GCP)
• Ability to work with RESTful APIs and modern integration patterns
• Strong attitude, aptitude, willingness to learn, and desire to grow rapidly in a fast-moving AI environment
• Experience with multithreading in Python (preferred)
• Exposure to intelligent automation or business process automation (preferred)
• Familiarity with CI/CD concepts and DevOps pipelines (preferred)
• Experience building small applications, browser extensions, or web-based tools (preferred)
• Academic or personal projects showcasing AI/ML or backend engineering skills (preferred)
• Strong curiosity, self-driven learning habits, and a desire for exposure to end-to-end AI product engineering
• Ability to learn quickly and contribute to an evolving, highly technical team
• Attitude, effort, and problem-solving ability are valued as much as professional experience

WHAT'S IN IT FOR YOU

• Significant learning and mentorship opportunities from experienced engineers
• Exposure to cutting-edge AI/ML technologies and real-world enterprise applications
• Supportive, growth-oriented team culture focused on rapid professional development
• Opportunity to work on impactful projects that shape the future of contact center operations
• Collaborative Agile environment with cross-functional team engagement
• Equal employment opportunities (EEO) in accordance with applicable federal, state, and local laws