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Sr. Software Engineer, Automation Engineering

NBCUniversal
Remote, USA
Full-time
Senior · 5+ years experience
Remote
USD 140000-180000 yearly / year
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Responsibilities

  • AI Agent & Automation Engineering Design and build internal AI agents and automation workflows using technologies such as, Snowflake Cortex, LangChain, LangGraph, or similar frameworks, to support planning, tool use, retrieval, validation, and human-in-the-loop execution where appropriate. Develop reusable tools, APIs, and components that engineers can compose into new agentic workflows. Implement retrieval-augmented generation workflows, context management strategies, and prompt patterns that improve accuracy, reliability, latency, and cost efficiency.
  • Design and build internal AI agents and automation workflows using technologies such as, Snowflake Cortex, LangChain, LangGraph, or similar frameworks, to support planning, tool use, retrieval, validation, and human-in-the-loop execution where appropriate.
  • Develop reusable tools, APIs, and components that engineers can compose into new agentic workflows.
  • Implement retrieval-augmented generation workflows, context management strategies, and prompt patterns that improve accuracy, reliability, latency, and cost efficiency.
  • Agent Evaluation & Reliability Build evaluation harnesses, regression tests, and monitoring patterns for AI-agent behavior. Define and track metrics such as task completion, groundedness, response accuracy, latency, cost, and failure rate. Design guardrails and validation patterns to reduce hallucinations, unsafe outputs, and unreliable automation behavior. Partner with engineering and operations teams to move AI workflows from prototype to production-ready systems.
  • Build evaluation harnesses, regression tests, and monitoring patterns for AI-agent behavior.
  • Define and track metrics such as task completion, groundedness, response accuracy, latency, cost, and failure rate.
  • Design guardrails and validation patterns to reduce hallucinations, unsafe outputs, and unreliable automation behavior.
  • Partner with engineering and operations teams to move AI workflows from prototype to production-ready systems.
  • Software Engineering & Platform Development Design, build, and maintain production-grade Python applications, libraries, and services. Champion object-oriented design principles, including encapsulation, abstraction, inheritance/composition, reusable interfaces, and clean separation of concerns to improve maintainability and extensibility. Champion software engineering best practices including modular design, automated testing, CI/CD, code reviews, observability, and documentation. Create reusable engineering patterns that reduce bespoke development effort and improve consistency across partner engagements. Collaborate with product, engineering, operations, and data platform teams to translate repeatable business needs into scalable technical solutions.
  • Design, build, and maintain production-grade Python applications, libraries, and services.
  • Champion object-oriented design principles, including encapsulation, abstraction, inheritance/composition, reusable interfaces, and clean separation of concerns to improve maintainability and extensibility.
  • Champion software engineering best practices including modular design, automated testing, CI/CD, code reviews, observability, and documentation.
  • Create reusable engineering patterns that reduce bespoke development effort and improve consistency across partner engagements.
  • Collaborate with product, engineering, operations, and data platform teams to translate repeatable business needs into scalable technical solutions.
  • Audience & Measurement Productization Build reusable Python libraries that support clean room capabilities across first-party audience workflows and core measurement use cases, including audience onboarding, ingestion, indexing, activation, campaign and impression delivery analysis, reach and frequency, attribution, and incrementality. Abstract complex analytical and data collaboration workflows into repeatable, self-service components for internal teams and external partners. Enable configurable feature deployment so new audience and measurement capabilities can be delivered quickly and consistently across partners.
  • Build reusable Python libraries that support clean room capabilities across first-party audience workflows and core measurement use cases, including audience onboarding, ingestion, indexing, activation, campaign and impression delivery analysis, reach and frequency, attribution, and incrementality.
  • Abstract complex analytical and data collaboration workflows into repeatable, self-service components for internal teams and external partners.
  • Enable configurable feature deployment so new audience and measurement capabilities can be delivered quickly and consistently across partners.
  • Technical Mentorship Mentor engineers through code reviews, technical design discussions, and operational best practices. Help establish engineering standards for AI-assisted workflows, agentic system design, reusable libraries, and production automation. Promote a culture of reliability, maintainability, and continuous improvement.
  • Mentor engineers through code reviews, technical design discussions, and operational best practices.
  • Help establish engineering standards for AI-assisted workflows, agentic system design, reusable libraries, and production automation.
  • Promote a culture of reliability, maintainability, and continuous improvement.

Required Qualifications

  • Education Bachelor’s degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a related technical field
  • Bachelor’s degree or equivalent practical experience in Computer Science, Information Systems, Software Engineering, Electrical Engineering, Electronics Engineering, or a related technical field
  • Software Engineering 5+ years of experience building production-grade software using Python, including libraries, services, testing, CI/CD, and code reviews
  • 5+ years of experience building production-grade software using Python, including libraries, services, testing, CI/CD, and code reviews
  • AI / LLM Engineering Hands-on experience building applications using LLMs, RAG, vector databases, prompt engineering, or frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools
  • Hands-on experience building applications using LLMs, RAG, vector databases, prompt engineering, or frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools
  • Agentic Systems / Automation Experience designing AI-enabled workflows, reasoning agents, tool-using agents, or complex automation systems
  • Experience designing AI-enabled workflows, reasoning agents, tool-using agents, or complex automation systems
  • Data Platforms 3+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologies
  • 3+ years of hands-on experience with cloud data platforms such as Snowflake, Databricks, or similar technologies
  • Systems Design Strong understanding of production system design, including observability, reliability, scalability, performance tuning, and operational support
  • Strong understanding of production system design, including observability, reliability, scalability, performance tuning, and operational support

Preferred Qualifications

  • Clean Room Knowledge Exposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, Habu, or similar technologies
  • Exposure to data clean room concepts or platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, Habu, or similar technologies
  • Ad Tech / Measurement Experience with advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows
  • Experience with advertising technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting workflows
  • Certifications Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification
  • Snowflake SnowPro Core Certification, Databricks Certified Data Engineer Associate, or similar cloud/data platform certification

Additional Requirements

  • Full 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: $140,000 - $180,000 (bonus eligible)
  • 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 AccessibilitySupport@nbcuni.com.
  • 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.

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