Sr Software Engineer

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., * 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

• 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, * 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

Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence. 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. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $120,000 - $170,000

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.