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NBCUniversal

Senior Software Engineer

NBCUniversal

Senior Software Engineer at NBCUniversal designing and developing LLM-powered applications and autonomous agents. Collaborating across the full stack and delivering scalable AI-driven solutions.

Posted 7/21/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $120,000 - $170,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and developing LLM-powered applications, integrating modern LLM models, and implementing agentic workflows. Proficient in AWS services and observability tools, with a strong foundation in software engineering principles and practices.

Highest-signal resume keywords
Python ProgrammingLLM Model IntegrationLangGraph FrameworkAWS ServicesMCP Server Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringPrompt EngineeringREST API DevelopmentEvent-Driven SystemsAlgorithmsDistributed SystemsCloud-Native Design
Soft Skills
CollaborationPeer Review
Tools & Technologies
LangSmithLangFuseAWS LambdaAWS ECSAWS S3AWS DynamoDBAWS API Gateway
Certifications & Qualifications
Bachelor’s Degree in Computer Science
Industry Keywords
LLM-Powered ApplicationsAgentic WorkflowsAutonomous AgentsAgile Methodologies

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDynamoDBPython

About the role

Key responsibilities & impact
  • Design, develop, and maintain LLM-powered applications and autonomous agents
  • Build agentic workflows and orchestration layers using LangGraph or similar frameworks
  • Implement and refine prompt engineering strategies for reliability, safety, and performance
  • Integrate and evaluate modern LLM models across providers
  • Develop agent observability using LangSmith, LangFuse, or equivalent tools
  • Build and maintain MCP (Model Context Protocol) Server components
  • Collaborate with cross-functional teams and participate in Agile ceremonies
  • Develop backend services using AWS-native serverless and compute offerings
  • Perform peer reviews and contribute to engineering standards and best practices

Requirements

What you’ll need
  • Bachelor’s degree in CS or related field
  • 5+ years of professional software engineering experience
  • Expertise in Python and relevant LLM/AI libraries
  • Experience with LangGraph or similar agentic frameworks
  • Deep knowledge of LLM model integration and tuning
  • Hands-on experience with observability tools such as LangSmith or LangFuse
  • Experience developing MCP Servers
  • Strong knowledge of AWS services including Lambda, ECS, S3, DynamoDB, API Gateway
  • Strong fundamentals in algorithms, distributed systems, and cloud-native design
  • Experience building and consuming REST APIs and event-driven systems

Benefits

Comp & perks
  • medical, dental and vision insurance
  • 401(k)
  • paid leave
  • tuition reimbursement
  • a variety of other discounts and perks