Job DescriptionAs 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
QualificationsBasic 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.
