Sr Software Engineer

NBCUniversal • New York, NY

1d • $120,000 - $170,000 • Remote

About The Position

As a Senior Software Engineer focused on Agentic, LLM-powered applications, you will design, develop, and optimize intelligent systems and autonomous agents. You will work across the full stack of agent development—from prompt engineering and LLM integration to observability, orchestration, and cloud-native deployment. This role requires deep technical expertise with Python, modern LLM frameworks, and AWS services, along with hands-on experience building reliable, scalable AI-driven systems.

Requirements

• 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
• Excellent communication, collaboration, and problem-solving skills
• Self-directed, ability to multi-task, sharp analytical abilities, excellent communication skills

Nice To Haves

• Experience with vector databases and embedding pipelines
• Experience with real-time or streaming platforms such as Kinesis or Kafka
• Familiarity with containerization technologies such as Docker
• Experience with reinforcement learning or agentic evaluation frameworks
• Results-oriented, high energy, self-motivated

Responsibilities

• 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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior