Engineering Manager - GenAI studios

JioStar

Bengaluru

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

JioHotstar is seeking an experienced Engineering Manager to lead the GenAI engineering team responsible for building an AI-native product for professional creators. You will drive development of scalable features, mentor engineers, and ensure delivery of production-grade AI content production systems.

You will partner with Product and Data Science to define the tech roadmap, design robust backend architectures, and champion observability, performance, and cost efficiency in a fast-moving, agile

Qualifications

  • 8+ years of software development experience.
  • At least 3 years of managing software development teams.
  • Bachelor’s or Master’s in CS or related field.

Responsibilities

  • Lead and scale the GenAI engineering team, delivering high-quality features for AI content production.
  • Partner with Product and Data Science to define and drive the tech roadmap.
  • Design backend systems that scale across frontier models.
  • Champion observability, performance tuning, cost efficiency, and resilience engineering.
  • Foster a data-driven, customer-first engineering culture with clear goals and execution plans.
  • Collaborate with Developers, Program Managers, and tech support teams in an agile environment.

Skills

Python
JavaScript
React/Next.js
Distributed systems
MySQL/NoSQL
Google Cloud
CI/CD
Leadership
AI tooling
Communication

Education

Bachelor’s or Master’s in CS

Job description

Job Summary

As an Engineering Manager, you will be responsible for leading the engineering team tasked with the development of an AI-native product designed for professional creators. The product's objective is to empower professional creators to direct and produce high-quality, production-grade, AI-generated content, with a particular emphasis on automated evaluations and validations.

About the team

At JioHotstar, the GenAI studios is an AI native, agile & fast-moving team focused on turning bold ideas into impactful products.
Our platform highlights creators and their narratives by giving them AI-powered systems using advanced machine learning and multimedia pipelines.
As part of this team, you'll work at the intersection of creativity and technology - building end-to-end experiences, experimenting with emerging tech, and shaping the future of entertainment content.

Key responsibilities
  • Lead and scale the GenAI engineering team, responsible for developing and delivering high-quality features for AI content production
  • Partner closely with Product, and Data Science teams to define and drive and deliver the tech roadmap items
  • Design backend systems that scale across multiple frontier models
  • Champion engineering excellence across observability, performance tuning, cost efficiency, and resilience engineering.
  • Foster a high-ownership engineering culture focused on data-driven decision making, experimentation velocity, and customer-first thinking.
  • Create effective mechanisms to set goals for the team, create execution plans and track progress against those. You'll collaborate with other Developers, Program Managers, and tech support teams, in an agile environment to estimate and deliver objectives set together as a team.
Skills and attributes for success
  • Full stack expertise with solid experience with Python & JS frameworks like React or Next
  • Hands-on architectural or distributed systems experience
  • Experience with high scale databases - MySQL, NoSQL (Cassandra, Redis, DynamoDB)
  • Experience with Google Cloud for production applications
  • Experience with CI/CD processes
  • A strong track record of project delivery for large, cross-functional, projects and bringing in and growing engineering talent
  • Documented experience in using AI tools as part of daily work
  • Excellent written and verbal communication skills with the ability to present complex technical information clearly and concisely to a variety of audiences
Preferred education and experience
  • Bachelors/master's in computer science or a related field with 8+ years of experience in software development and 3 years of experience in managing software development teams.
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