Job at a glance
Company Description We’re building self-healing voice agents for enterprise customer support within ixigo. The system has to know when it’s failing, why it’s failing, and how to fix itself before a human notices. This fellowship sits at the intelligence layer behind that work.   Job Description We are looking for a  FullStack Intern  to work closely with our engineering, product, and CX teams and gain hands-on experience building and scaling our Voice AI stack.
You will contribute to projects across  voice bots, agent assist tools, servicing dashboards, and backend infrastructure , while working with production systems and modern AI technologies.
Key Responsibilities Contribute to the architecture and development of the  AI Voice Bot stack , including tools that allow internal teams to configure and manage voice bot flows.
Work on  queue and retry frameworks  for call scheduling, including handling failures, retries, and prioritization across high call volumes. Contribute to  voice call automation , helping improve fully-automated call rates while ensuring monitoring and observability.
Assist in building and enhancing the  Servicing Insights Dashboard , including backend data pipelines and frontend interfaces used by CX teams. Explore emerging  Voice AI technologies and market trends  and support the team in translating relevant research into improvements for internal tools.
Follow strong engineering practices through  documentation, code reviews, design discussions, testing, and technical planning . Qualifications Pursuing or recently completed a degree in  Computer Science, Engineering, or a related field , wih strong programming fundamentals.
Strong interest in  full-stack engineering  and building production systems. Interest or hands-on exposure to  Voice AI systems for CX use cases . Understanding of  queueing systems, retry mechanisms, and scheduling infrastructure .
Exposure to deploying or working with services on  Kubernetes/EKS . Experience building or contributing to  dashboards or internal tools . Strong ownership mindset with the ability to take up tasks end-to-end with guidance from senior engineers.
Strong written and verbal communication skills, with the ability to collaborate with  CX, product, and engineering teams . Ability to learn quickly and work in a fast-paced engineering environment.
Tech Stack Python Typescript/Nodejs FastAPI / Flask Voice AI STT / TTS LLMs PostgreSQL Redis AWS Docker CI/CD Kubernetes / EKS Additional Information Candidates are responsible for safeguarding sensitive company data against unauthorized access, use, or disclosure, and for reporting any suspected