Lead Software Engineer, AI Tooling & Quality Engineering Platforms

Workman Labs; New York (NY); On-site; USD 165,000 - 247,000; Full time

Job summary

Paramount is seeking a Lead Software Engineer to build enterprise-scale AI platforms and internal developer tools for Global Quality Engineering — architecting RAG systems and intelligent automation that evaluate failures, classify flakiness, and recommend fixes across brands.

You will lead design of internal tooling, build full-stack systems including React-based UIs, and mentor engineers while aligning with executive AI strategy and roadmaps.

Qualifications

• 6+ years of software engineering with backend focus and architecture
• Experience with production AI systems including LLMs and RAG pipelines
• Full-stack capabilities with React or similar
• Strong experience with cloud, distributed systems, and containers
• Ability to set technical strategy and influence across teams

Responsibilities

• Architect large-scale AI platforms, RAG systems, and intelligent automation services supporting Global Quality Engineering
• Lead design of internal developer tools, micro-platforms, and APIs that integrate AI into engineering workflows
• Build full-stack systems including React-based UIs for internal tooling
• Create systems that auto-evaluate failures, classify flakiness, detect patterns, and recommend fixes
• Partner with the QE executive team on long-term AI strategy and roadmap
• Drive cross-functional alignment with Platform and Data Engineering; mentor engineers
• Evaluate and integrate emerging AI tech, preferring Vertex AI and Gemini

Skills

Backend architecture

LLM integrations

React

Cloud platforms

Kubernetes

Docker

Technical strategy

Tools

Vertex AI

Gemini

SageMaker

Kubernetes

Docker

Job description

Lead Software Engineer, AI Tooling & Quality Engineering Platforms

Paramount is hiring a Lead Software Engineer to build enterprise-scale AI platforms and internal developer tools for Global Quality Engineering — architecting RAG systems and intelligent automation that evaluate failures, classify flakiness, and recommend fixes across brands.

$164,640 – $246,960 / yr

Location

New York, NY or Burbank, CA

On-site

Seniority

Lead

Compared with 41 other Engineering roles: Common across similar roles Unique to this role

What you'll do

Responsibilities

• Architect large-scale AI platforms, RAG systems, and intelligent automation services supporting Global Quality Engineering
• Lead design of internal developer tools, micro-platforms, and APIs that integrate AI into engineering workflows Common
• Build full-stack systems including React-based UIs for internal tooling
• Create systems that auto-evaluate failures, classify flakiness, detect patterns, and recommend fixes Unique
• Partner with the QE executive team on long-term AI strategy and roadmap Unique
• Drive cross-functional alignment with Platform and Data Engineering; mentor engineers
• Evaluate and integrate emerging AI tech, preferring Vertex AI and Gemini

What you'll need

Experience

• 6+ years software engineering with deep backend and architectural expertise
• Production AI systems experience including LLM integrations and RAG pipelines
• Full-stack capability with React or similar frameworks
• Cloud platforms, distributed systems, and container orchestration (Kubernetes/Docker)
• Executive-level technical strategy and cross-functional influence
• Nice to have: engineering management/mentoring, Vertex AI/Gemini/SageMaker/Azure ML, QE/test-automation, streaming/media-tech, internal developer tooling