Senior Software Engineer

Paramount•Burbank, CA

10d•$124,000 - $186,000

About The Position

Paramount Skydance Corp. is seeking a Senior Software Engineer for its Global Quality Engineering team to design and build advanced AI-powered tooling and internal platforms that modernize quality engineering across the organization. This is a software engineering role focused on production systems, internal platforms, and intelligent automation services—not an in-test role. The engineer will lead development of AI-driven services, retrieval-augmented generation (RAG) pipelines, and automation accelerators to improve test authoring, triage, and analysis. The role is based in New York City, Los Angeles, or San Francisco. The position is bonus eligible. The stated hiring salary range is $124,000 to $186,000, with starting pay depending on job-related factors such as location, market demands, experience, training, and education.

Requirements

At least 4 years of software engineering experience with robust backend expertise.
Proven experience building production-grade AI- or ML-powered systems.
Strong knowledge of distributed systems, microservices, and cloud platforms.
Hands-on experience with vector databases, embeddings, and LLM orchestration.
Experience integrating tools into CI/CD pipelines and developer workflows.
Strong communication and cross-functional collaboration skills.
Technical leadership within a team.
Strong architectural judgment and design skills.
Ability to break down complex problems and deliver scalable solutions.
Ability to mentor and uplift junior engineers.

Responsibilities

Architect and implement AI-driven services, micro-platforms, and developer tools that support Global Quality Engineering.
Build and optimize RAG pipelines, embedding systems, and LLM-powered utilities.
Develop intelligent automation accelerators to classify failures, detect flakiness, and recommend fixes.
Integrate AI capabilities into CI/CD pipelines and existing automation frameworks.
Partner with Quality Engineering, Platform, and Data Engineering to define requirements and deliver scalable solutions.
Mentor junior engineers and contribute to engineering standards and best practices.
Evaluate emerging AI technologies and propose practical applications.