• Define best practices for model development, MLOps, code reviews, and testing. • Collaborate with product managers to translate business goals (e.g., match quality, latency) into technical specifications. • Drive architectural decisions for AI services (inference pipelines, embedding stores, LLM orchestration). • Conduct regular design reviews and ensure technical documentation. • Design and fine-tune transformer-based models for resume/job description understanding. • Build and optimize vector search pipelines for semantic candidate matching. • Develop agentic workflows using LLMs (GPT-4, Claude, Gemini) for screening, interview scheduling, and feedback synthesis. • Implement production RAG systems with low latency. • Build data pipelines for feature extraction, embedding generation, and model evaluation. • Monitor model performance, drift, and retraining triggers. • Work closely with backend engineers to deploy models via REST APIs (FastAPI, TorchServe, or similar). • Partner with data engineers to ensure high-quality training data from hiring interactions. • Coordinate with product & design to embed AI features seamlessly into UX. • Ensure compliance with data privacy (GDPR, CCPA) and fairness/anti-bias standards.

• Define best practices for model development, MLOps, code reviews, and testing. • Collaborate with product managers to translate business goals (e.g., match quality, latency) into technical specifications. • Drive architectural decisions for AI services (inference pipelines, embedding stores, LLM orchestration). • Conduct regular design reviews and ensure technical documentation. • Design and fine-tune transformer-based models for resume/job description understanding. • Build and optimize vector search pipelines for semantic candidate matching. • Develop agentic workflows using LLMs (GPT-4, Claude, Gemini) for screening, interview scheduling, and feedback synthesis. • Implement production RAG systems with low latency. • Build data pipelines for feature extraction, embedding generation, and model evaluation. • Monitor model performance, drift, and retraining triggers. • Work closely with backend engineers to deploy models via REST APIs (FastAPI, TorchServe, or similar). • Partner with data engineers to ensure high-quality training data from hiring interactions. • Coordinate with product & design to embed AI features seamlessly into UX. • Ensure compliance with data privacy (GDPR, CCPA) and fairness/anti-bias standards.

• Own and lead the most complex system design discussions. Be the person the team comes to for architectural decisions. Negotiate, push back, and shape what gets built and what doesn't. • Rapidly assess technical feasibility of AI product ideas before development begins. Produce one-page technical scoping documents that prevent scope creep and surface hidden risks upfront. • Define technology stacks, build reusable frameworks, and establish engineering guidelines that let the team move fast while maintaining quality standards. • Build prototypes with stakeholder alignment, get early signal on whether something will work, and kill or accelerate accordingly. • Partner closely with research, operations, and data teams to understand evolving needs and iterate quickly. Juggle multiple workstreams and make smart tradeoff decisions as priorities shift. • Build systems that raise our execution muscle. Lead evaluation practices that measure AI application effectiveness.

Company Description 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. Job Description NBCUniversal is seeking a driven, energetic Staff Software Engineer (AI Infrastructure/Python) to lead the development of innovative new systems and solutions making use of a rapidly changing landscape of emerging technologies. This is a senior role that's part of a team focused on proving the value of new tech and bringing it to production quickly. We are seeking a candidate well versed in full stack web application software development. Responsibilities: - Develop prototypes rapidly for new proofs of concept, ensuring high usability and adherence to design specifications. - Maintain a working knowledge of back-end systems to facilitate efficient API integration and occasional deployment of full-stack applications. - Ability to integrate front end systems into Active Directory and UX flows for OAuth authentication. - Uphold high standards of code quality through rigorous testing, adherence to code standards, and common-sense testing. - Develop automated tests for your code, ensuring every function, service, and object is compatible with your team’s work and with the many systems within the NBCUniversal system portfolio as well as ensuring cross-device and browser compatibility. - Create documentation for developers as well as business users to help them understand our products. - Work collaboratively with a multidisciplinary team within a matrixed organization, leveraging strong interpersonal skills to navigate system complexities and deploy solutions efficiently. - Deploy to cloud-based platforms (AWS, Azure, GCP) and troubleshoot application, cloud, and configuration issues when necessary. - Utilize tools for code & test generation to dramatically accelerate the delivery of features and components you create. Qualifications - 8+ years of experience in full stack development/engineering, demonstrated through a comprehensive portfolio and related experience. - Proven capability to bring a basic application from idea to delivery without requiring support from others. - Expertise in backend technologies (Python) and RESTful services, with practical experience in integrating and consuming APIs in front-end projects. - Expertise in modern JavaScript, including ES6+ features and asynchronous programming. Expert in at least one modern front-end framework (React preferred, Angular or Vue acceptable). - Proficiency with working with foundation model APIs and agent frameworks to build custom generative-AI agents. - Strong understanding of web design principles, responsive and adaptive design, and UI/UX best practices. - Experience with front-end testing frameworks, code versioning tools, and a commitment to writing clean, maintainable code. - Proficient in designing and implementing serverless architectures, with hands-on experience deploying applications on a leading cloud platform such as AWS, Azure or GCP. - Demonstrated ability to adapt to an agile development environment, quickly incorporating feedback and adjusting to changing priorities. - Ability to visualize the architecture of a proposed system or service, draw it out, socialize it, and build it. Desired Characteristics: - Competent in working in secured internal network environments and complex cloud network setups. - Working knowledge of AI Gateways. - Experience with Terraform. - Proven adaptability in a fast-paced, evolving technology landscape, with a strong problem-solving ability and quick learning curve. - Effective communication skills, capable of working collaboratively across diverse teams and navigating a large, matrixed organization efficiently. - Ability to translate business needs into clear technical requirements. 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: $150,000 - $170,000 (bonus eligible) Additional Information 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 and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected]. - Business Segment: Operations & Technology - Compensation: USD 150000.00 - USD 170000.00 - yearly