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Paramount

Senior Agentic AI Software Engineer

Paramount

Senior AI software engineer modernizing Paramount’s business-critical media systems. Building agentic workflows, MCP integrations, and intelligent enterprise applications across legacy and cloud technologies.

Posted 8/18/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $124,000 - $186,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise software development with a focus on .NET, Python, and Node.js, alongside proficiency in Angular and TypeScript. Capable of integrating AI tools and ensuring compliance with security standards while effectively communicating complex concepts to stakeholders.

Highest-signal resume keywords
Enterprise Software DevelopmentAngular Application DevelopmentAI Development Tools ExperienceMCP Integration KnowledgeOWASP Security Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
.NETPythonNode.jsAngularTypeScriptSQLNoSQLAI Testing AgentsDatabase ModelingCode Ownership
Soft Skills
CommunicationCollaborationDiscipline
Tools & Technologies
Azure AI ServicesAWS BedrockGoogle Vertex AIAzure DevOpsAutomation AnywhereUiPath
Certifications & Qualifications
Advanced Azure AI Certifications
Industry Keywords
Media TechnologyAI IntegrationCloud ArchitectureRPA ToolsApplication Telemetry

Tech Stack

Tools & technologies
AngularAWSAzureCloudJavaScript.NETNode.jsNoSQLPythonRPASQLTypeScript

About the role

Key responsibilities & impact
  • Architect and build the next generation of Paramount’s business-critical systems
  • Deploy agentic workflows and MCP-enabled tools to bridge legacy APIs with modern application services
  • Automate boilerplate, refactoring, and legacy-system porting to an Angular front end backed by Python, .NET, or Node.js
  • Transform natural-language requirements and user stories into executable specifications, intent-based tasks, and acceptance criteria
  • Generate supporting documentation, diagrams, and impact analyses
  • Explore architectural directions and move from concepts to draft pull requests using AI iteration
  • Implement AI-driven unit, integration, and property-based testing agents
  • Lead human-in-the-loop reviews of AI-generated commits while maintaining architecture, security, and compliance
  • Curate codebase context, agent rules, and MCP servers; optimize developer-facing AI tools for token usage, latency, and accuracy
  • Apply OWASP standards and security practices for data and intellectual-property protection, encryption, key storage and rotation, and threat defense
  • Estimate effort and milestones using AI-assisted planning
  • Translate delivery metrics into actionable status updates for executive stakeholders

Requirements

What you’ll need
  • 5+ years of enterprise software development experience
  • Deep experience with .NET, Python, or Node.js in a business-critical setting
  • 3+ years of experience with Angular and TypeScript
  • Hands-on production experience with AI development tools such as Cursor, GitHub Copilot agent mode, and/or Claude Code
  • Discipline around review, testing, and code ownership
  • Working knowledge of MCP for integrating AI tools with local and remote data sources
  • Ability to explain complex technical and AI concepts to non-technical stakeholders and executive management
  • Preferred: experience with Azure AI Services, AWS Bedrock AgentCore, Google Vertex AI Agent Builder, or similar agent frameworks
  • Preferred: 3+ years of database modeling, storage, and retrieval using SQL and/or NoSQL, including complex queries
  • Preferred: experience with Azure DevOps or equivalent build and release pipelines
  • Preferred: knowledge of system prompts, chain-of-thought prompting, planning and agent modes, and rules files
  • Preferred: experience migrating systems using agentic AI
  • Preferred: open-source AI contributions
  • Preferred: advanced Azure AI or cloud architecture certifications
  • Preferred: experience with RPA tools such as Automation Anywhere or UiPath
  • Preferred: batch scheduling, queuing, or integration technology experience
  • Preferred: multi-region or multi-zone cloud configuration experience
  • Preferred: multi-agent systems, orchestration, or RAG workflows
  • Preferred: application telemetry and observability experience
  • Preferred: background in media technology

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Life insurance coverage
  • Disability benefits
  • Tuition assistance program
  • PTO / generous paid time off
  • Bonus eligibility
  • Attractive compensation and comprehensive benefits packages
  • Opportunities for on-site and virtual engagement events
  • Opportunities to build a vibrant community and make meaningful connections