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.

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

Basic 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

Desired Characteristics:

• 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

Additional Requirements:

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
We are accepting applications for this position on an ongoing basis.

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 

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For LA County and City Residents Only:  NBCUniversal will consider for employment  qualified applicants with criminal histories, or arrest or conviction records, in a manner  consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.