Base Salary
$140k - $180k/yr
Responsibilities
- Design and build internal AI agents and automation workflows for planning, tool use, retrieval, validation, and human-in-the-loop execution.
- Develop reusable tools, APIs, libraries, and components for composable agentic workflows and scalable automation.
- Implement retrieval-augmented generation, context management, and prompt strategies to improve accuracy, reliability, latency, and cost efficiency.
- Build evaluation harnesses, regression tests, monitoring, metrics, guardrails, and validation patterns for AI-agent behavior.
- Design, build, and maintain production-grade Python applications, libraries, and services using maintainable object-oriented designs.
- Apply software engineering practices including automated testing, CI/CD, code reviews, observability, and documentation.
- Build reusable Python libraries and self-service components for clean room, audience activation, measurement, attribution, and reporting workflows.
- Collaborate with product, engineering, operations, and data platform teams to deliver scalable technical solutions.
- Mentor engineers through code reviews and technical design discussions and help establish standards for AI-assisted workflows and production automation.
Requirements
- Bachelor’s degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a related technical field.
- 5+ years of experience building production-grade software with Python, including libraries, services, testing, CI/CD, and code reviews.
- Hands-on experience building applications with LLMs, RAG, vector databases, prompt engineering, LangChain, LangGraph, LlamaIndex, or similar tools.
- Experience designing AI-enabled workflows, reasoning agents, tool-using agents, or complex automation systems.
- 3+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologies.
- Strong understanding of production system design, observability, reliability, scalability, performance tuning, and operational support.
- Preferred exposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, or Habu.
- Preferred experience with advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows.
- Preferred Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification.
Benefits
- Fully remote position performed from a non-NBCUniversal worksite, most commonly the employee’s residence.
- Company-sponsored medical, dental, and vision insurance.
- 401(k), paid leave, tuition reimbursement, discounts, and other perks.
Tech Stack
Categories
About NBC
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. 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.