Job description
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.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing .
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.
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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.