Full-Time Software Engineer (Generative AI)

We are seeking a mid-level Software Engineer to contribute to the development of innovative new systems and solutions using a rapidly emerging landscape of frontier AI capabilities. The role involves designing, building, and maintaining APIs and web frontends that interface with Large Language Models (LLMs) using streaming and tool-calling, integrating with a variety of databases, and delivering value to production quickly across business verticals such as TV, film, and theme parks.

Responsibilities:

• Build, enhance, and maintain RESTful APIs and backend business logic.
• Work with SQL and NoSQL databases to design data models and manage storage solutions.
• Contribute to features that extend from the application user interface through underlying APIs.
• Collaborate closely with data scientists and ML engineers to help integrate foundation model features and functionalities.
• Develop automated tests for code quality, ensuring compatibility with other systems within the NBCUniversal ecosystem.
• Document technical features for both developers and business users.
• Work with cross-functional teams in a matrixed environment, leveraging strong communication and interpersonal skills.
• Deploy and troubleshoot applications on cloud-based platforms, using code & test generation tools to accelerate feature delivery.

Basic Requirements:

• 3+ years of experience in backend or fullstack development, backed by a portfolio or relevant project work.
• Proven ability to build a basic application from idea to delivery with minimal supervision.
• Experience with Python for application development, cloud (AWS/Azure/GCP), database systems, and SQL.
• Familiarity with ML practices around integrating and calling LLMs (e.g., streaming/token usage, basic fine-tuning concepts, RAG patterns).
• Demonstrated ability to problem-solve in ambiguous environments and work efficiently with online and onsite resources.
• Practical experience with RESTful API integrations and front-end consumption.
• Agile mindset, able to incorporate feedback and adapt priorities quickly.
• Ability to visualize and communicate architectural concepts.

Desired Characteristics:

• Competent working within secured internal networks and complex cloud setups.
• Familiarity with emerging LLM integration patterns (e.g., langchain).
• Quick learner who can thrive in a fast-paced, evolving technology ecosystem.
• Effective communicator able to collaborate across diverse teams in a large organization.
• Ability to translate business needs into clear technical requirements.

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