Senior Software Engineer, Content Intelligence

PAUL ANDREW WARNER II
Atlanta, GA, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services C++ (Programming Language) Continuous Integration Distributed Systems Python (Programming Language) Software Engineering Large Language Models Backend Containerization Information Technology
+3 more
Low Latency Software Version Control Golang

Job description

  • Own features and production systems end-to-end, from design through operation, with growing influence on the team’s technical direction
  • Strive for operational excellence - build highly available, low-latency, efficient software (drop “with support from other engineers”)
  • Integrate large language models / foundational models into production with the right guardrails, monitoring, and evaluation - applying good judgment about what AI is and isn’t reliable for
  • Build and share subject-matter expertise across multiple production systems
  • Author, test, review, and optimize production-quality code following IaC, version-control, and CD best practices (drop “with support”)
  • Take ownership of production reliability, including participation in an on-call rotation
  • Mentor junior and mid-level engineers and help raise the bar on the team
  • Communicate effectively through updates, demos, and technical documentation
  • Promote an inclusive and supportive engineering culture

Requirements

  • 5+ years of professional software engineering experience
  • Strong proficiency in Python, plus one or more of Golang, Java, C++, or similar
  • Proven experience building and operating scalable backend/distributed systems in production at real scale (large user base; ~2-3 years at enterprise or large-scale-startup scale - not just POCs/prototypes)
  • Hands-on experience shipping features or products built on LLMs / foundational models to real users (not demos)
  • Experience with AWS (or comparable cloud), containerization, and CI/CD
  • Bachelor’s in Computer Science or related field, or equivalent experience

The Nice to Haves

  • Experience evaluating the quality of AI/LLM output and handling non-deterministic systems
  • Experience with content classification, tagging, or summarization systems
  • Prior experience on an ML/AI team

About the company

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.

We are the now and the next. The power behind the people building the future. We are born from the spirit of innovation. We are created from the idea that people around the world want more, need more, deserve more. We are the home of the global digital revolution. We are CNN.

To see what it’s like to work at CNN, follow @WBDLife on Instagram and X!

About the team

This role sits on the Content Intelligence squad, which builds AI-generated data products from CNN’s content using large language models - such as article summaries shown across CNN web and apps, and classification/tagging like brand-safety signals for advertising partners. These power both consumer-facing features and internal editorial workflows, serving millions of users. We build the production systems that run and serve these AI features reliably at scale.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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