Senior Software Engineer

NBCUniversal • New York, NY

1d • 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 Computer Science 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 or similar frameworks
• 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

• This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees