Staff Software Engineer

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 - Hyderabad, India.

• 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 we're looking for
• Proven track record (5+ years) building and shipping machine learning / AI-powered products to production, including at least one significant LLM-based system used by real users (order of ~200+ active 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.

• 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.