AI Software Engineer

This is a Full Time Job

#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is… YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Job Title: Staff Software Engineer, AI Tooling & Quality Engineering
Platforms Team: Global Quality Engineering (GQE)

Location: NY, Burbank (Onsite)

Role Type: IC

Overview

Key Responsibilities
• Architect large-scale AI platforms, RAG systems, and intelligent automation services that support GQE.
• Lead the design of internal developer tools, micro-platforms, and APIs that integrate AI into core engineering workflows.
• Build and maintain full stack systems – including React-based UIs – for internal developer tooling platforms.
• Build systems that automatically evaluate failures, classify flakiness, detect patterns, and recommend fixes.
• Partner with QE executive team to define long-term AI strategy and roadmap.
• Drive cross-functional alignment with Platform Engineering, Data Engineering, Playback/Video Engineering, and Product.
• Mentor engineers across GQE and elevate engineering maturity through best practices and architectural guidance.
• Evaluate and integrate emerging AI technologies – with a preference for Vertex AI and Gemini – that deliver measurable productivity and quality improvements.

Qualifications
• 6 years of software engineering experience with deep backend and architectural expertise.
• Proven experience building and scaling production AI systems, including LLM integrations and RAG pipelines.
• Full stack capability – solid frontend proficiency with React or similar frameworks for internal tooling UIs.
• Deep systems thinking and ability to design platforms used across multiple teams and brands.
• Expertise in cloud platforms, distributed systems, and container orchestration (Kubernetes/Docker).
• Demonstrated executive team in technical strategy, platform design, and cross-functional influence.
• Exemplary communication skills and ability to drive alignment across engineering organizations.

Nice to Have
• Prior experience managing or mentoring engineers in addition to IC work.
• Hands-on experience with Vertex AI or Gemini platforms (or comparable ML platforms such as SageMaker or Azure ML).
• Background in QE, test automation, or quality engineering platforms.
• Experience in streaming, media tech, or video platform engineering.
• Experience building internal developer tooling or micro-platform ecosystems.

#L1VA