Senior Agentic AI Software Engineer

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 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 Core Competencies 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 Development Angular Application Development AI Development Tools Experience MCP Integration Knowledge OWASP Security Standards ATS Optimization Keywords Hard Skills .NET Python Node.js Angular TypeScript SQL NoSQL AI Testing Agents Database Modeling Code Ownership Soft Skills Communication Collaboration Discipline Certifications & Qualifications Advanced Azure AI Certifications Industry Keywords Media Technology AI Integration Cloud Architecture RPA Tools Application Telemetry Tools & Technologies Azure AI Services AWS Bedrock Google Vertex AI Azure DevOps Automation Anywhere UiPath #J-18808-Ljbffr Jobtailor