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Metro-based popular full-stack internship with broad skillset requirements at a known startup increases competition.
Core full-stack skills transfer across industries, though Voice AI and CX tooling increase domain specificity.
Requires degree status and specific tech exposures like Python, TypeScript, Kubernetes, so shortlisting is moderately strict.
Contribute to the architecture and development of an AI Voice Bot stack including configuration and management tools for voice bot flows.
Develop queue and retry frameworks for scheduling high volumes of calls handling failures and prioritization.
Assist in building and enhancing Servicing Insights Dashboard with backend data pipelines and frontend interfaces used by CX teams.
Pursuing or recently completed a degree in Computer Science, Engineering, or related field with strong programming fundamentals.
Work Experience Required: Not explicitly mentioned in the JD.
Interest or hands-on exposure to Voice AI systems for CX use cases and understanding of queueing systems, retry mechanisms, and scheduling infrastructure.
Exposure to deploying or working with services on Kubernetes/EKS.
Strong ownership mindset capable of taking tasks end-to-end with guidance from senior engineers.
Ability to collaborate effectively with engineering, product, and CX teams demonstrated by strong communication skills.
Experience or interest in full-stack engineering building production systems and contributing to dashboards or internal tools.