Principal Software Engineer

Basic Requirements:

• 10+ years of experience in backend or fullstack software engineering, and has a passion for engineering cultural transformation and embodying a mindset of continuous learning.
• Experience in developing AI, and ML solutions, with a focus on Generative AI and LLMs.
• Programming proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models
• Experience in building scalable applications powered by LLMs, utilizing cutting-edge frameworks like LangChain and LlamaIndex
• Understanding off-the-shelf LLM services (like Azure OpenAI) to seamlessly incorporate LLM capabilities in future architectures
• Ability to leverage cloud computing expertise to design robust architectures.
• Ability to think critically about problems, decipher user preferences versus requirements, and effectively use online and onsite resources to find appropriate solutions.
• Understanding of backend technologies and RESTful services, with experience in integrating, developing and consuming APIs.
• Experience in helping build out of an engineering culture that is rooted in cloud-native architectures, “actions over words”, edge APIs, web services, serverless event-driven architectures, familiarity with relevant design principles and patterns.
• Sharp eye for quality team contribution; ability to assess team members work product at scale.
• Expert in full SDLC and secure coding practices and frameworks.
• Experience with building “cloud native” engineering that’s rooted in “security and privacy by design”, and an understanding in developing/architecting workflows with significant exposure to Open-Source solutions
• A strong knowledge in modern software technologies, including, but not limited to Python, Go, HTML, CSS, JavaScript.
• Expertise working on a team with motivated cross-functional individuals focused on a common goal of delivering innovative solutions to meet aggressive business demands in an ever-changing environment to achieve on-time and on budget completion of projects.
• Ability to visualize architecture of a proposed system or service, draw it out, socialize it, and build it.

Desired Characteristics:

• Competent working in secured internal network environments and complex cloud networks setups
• Familiarity with integrating large language models and AI-generated content technologies into applications.
• Familiarity with the development ecosystem evolving around LLM integration, such as langchain.
• 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: $180,000 - $230,000 (bonus and long-term incentive eligible)

We are accepting applications for this position on an ongoing basis.

Requirements

Basic Requirements:

• 10+ years of experience in backend or fullstack software engineering, and has a passion for engineering cultural transformation and embodying a mindset of continuous learning.
• Experience in developing AI, and ML solutions, with a focus on Generative AI and LLMs.
• Programming proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models
• Experience in building scalable applications powered by LLMs, utilizing cutting-edge frameworks like LangChain and LlamaIndex
• Understanding off-the-shelf LLM services (like Azure OpenAI) to seamlessly incorporate LLM capabilities in future architectures
• Ability to leverage cloud computing expertise to design robust architectures.
• Ability to think critically about problems, decipher user preferences versus requirements, and effectively use online and onsite resources to find appropriate solutions.
• Understanding of backend technologies and RESTful services, with experience in integrating, developing and consuming APIs.
• Experience in helping build out of an engineering culture that is rooted in cloud-native architectures, “actions over words”, edge APIs, web services, serverless event-driven architectures, familiarity with relevant design principles and patterns.
• Sharp eye for quality team contribution; ability to assess team members work product at scale.
• Expert in full SDLC and secure coding practices and frameworks.
• Experience with building “cloud native” engineering that’s rooted in “security and privacy by design”, and an understanding in developing/architecting workflows with significant exposure to Open-Source solutions
• A strong knowledge in modern software technologies, including, but not limited to Python, Go, HTML, CSS, JavaScript.
• Expertise working on a team with motivated cross-functional individuals focused on a common goal of delivering innovative solutions to meet aggressive business demands in an ever-changing environment to achieve on-time and on budget completion of projects.
• Ability to visualize architecture of a proposed system or service, draw it out, socialize it, and build it.

Desired Characteristics:

• Competent working in secured internal network environments and complex cloud networks setups
• Familiarity with integrating large language models and AI-generated content technologies into applications.
• Familiarity with the development ecosystem evolving around LLM integration, such as langchain.
• 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: $180,000 - $230,000 (bonus and long-term incentive eligible)

We are accepting applications for this position on an ongoing basis.