Senior Software Engineer - Generative AI

Staff Software Engineer – Gen AI & ML (Growth & ML Team), Hyderabad

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Staff Software Engineer – Gen AI & ML(Growth & ML Team), Hyderabad, India.

About Warner Bros. Discovery:
Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.
For more information, please visit www.wbd.com.

Meet our team:
At Max, the Growth Engineering team comprises data engineers, data scientists, ML engineers, and software engineers. Our goal is to boost watch time and increase the number of subscribers. We work on all customer interactions to enhance customer happiness by quickly creating experiments that are enjoyable and that improve our main acquisition and retention metrics.

Roles & Responsibilities:
We are looking for a Staff Software Engineer with deep experience in applied Generative AI to design, build, and productionize AI capabilities for our flagship audience and activation platform. You will work embedded in our data engineering team, partnering closely with Staff+ engineers to bring AI-powered features from concept to reliable production systems.
What you'll do

• Design and end-to-end implementation of AI-powered features including audience segmentation, LLM-based segment recommendations, and an AI assistant/chatbot that interacts with our platform.

• Own selected AI capabilities from idea to production: problem framing, data/feature strategy, model selection or integration, evaluation, deployment, and ongoing iteration.

• Productionize LLM- and RAG-based systems with strong reliability, observability, and cost awareness, serving internal and external users at scale.

• Collaborate with data engineers, product, and stakeholders to translate marketing and advertising use cases into pragmatic AI solutions that deliver measurable business value.

• Establish and champion best practices for building AI products (evaluation frameworks, A/B testing, safety/guardrails, monitoring, feedback loops).

• Build on top of our existing data and cloud foundations (Databricks, AWS, GCP) to deliver scalable, maintainable AI services and APIs.

• Mentor engineers in the team on modern AI application development and help level up the organization's capability in Generative AI.

What to bring:

• 9-13 years of software engineering experience, including 5+ years of a proven track record in building and deploying machine learning/AI-powered products to production, with at least one impactful LLM-based system actively used by ~200+ users .

• Strong software engineering fundamentals: designing clean APIs, testing strategies, CI/CD, observability, and operating services in production.

• Hands-on experience with modern LLM application development (e.g., retrieval-augmented generation, prompt engineering, tools/agents, evaluation of LLM behavior).

• Experience deploying AI systems on one or more major cloud platforms (AWS, GCP) and working with data platforms such as Databricks.

• Ability to work pragmatically across the stack: from understanding data and model behavior through to integration into user-facing products and workflows.

• Comfort operating as a Staff-level engineer: driving technical direction, making trade-offs explicit, influencing across teams, and unblocking execution without needing detailed direction.

• Excellent collaboration and communication skills, with the ability to translate between technical constraints and product/business needs.

Nice to have

• Experience in Martech, AdTech, or related domains (audience segmentation, campaign optimization, customer journeys, experimentation).

• Exposure to experimentation and measurement frameworks for AI features (A/B tests, offline/online evaluation, success metrics definition).

• Experience with vector databases, feature stores, and building RAG pipelines on top of large-scale data.

What We Offer:

• A Great Place to work

• Equal opportunity employer

• Fast track growth opportunities.

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Experience Level

Senior Level