обновлено 2 дня назад
Senior Software Engineer, Automation Engineering (AI)
140 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Automation Engineering (AI): Building production-grade Python applications, reusable libraries, and AI-enabled agents for NBCUniversal's data collaboration ecosystem with an accent on LLM applications, RAG workflows, agent evaluation, and reliable automation. Focus on designing guardrails, regression tests, observability, scalable cloud data platform integrations, and reusable audience activation and measurement components.
Location: Fully remote from a non- worksite, associated with New York, United States
Salary: $140,000–$180,000 per year, bonus eligible
Company
is a media and entertainment company producing and distributing film, television, streaming, news, and theme park content, with a major advertising technology business.
What you will do
- Design and build internal AI agents and automation workflows using Snowflake Cortex, LangChain, LangGraph, or similar frameworks.
- Develop reusable tools, APIs, libraries, and components for agentic workflows and data collaboration platforms.
- Build evaluation harnesses, regression tests, monitoring, guardrails, and validation patterns for reliable AI-agent behavior.
- Design and maintain production-grade Python applications and services using modular architecture, automated testing, CI/CD, observability, and documentation.
- Build reusable components and libraries for data clean rooms, audience onboarding, activation, campaign analysis, measurement, attribution, and incrementality.
- Collaborate with product, engineering, operations, and data platform teams while mentoring engineers through reviews and technical design discussions.
Requirements
- Bachelor’s degree or equivalent practical experience in a relevant technical field.
- 5+ years of experience building production-grade software with Python, including libraries, services, testing, CI/CD, and code reviews.
- Hands-on experience with LLM applications, RAG, vector databases, prompt engineering, or frameworks such as LangChain, LangGraph, or LlamaIndex.
- 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 or Databricks.
- Strong understanding of production system design, observability, reliability, scalability, performance tuning, and operational support.
Nice to have
- Experience with data clean room platforms such as Snowflake Clean Rooms, Databricks Clean Rooms, LiveRamp, or Habu.
- Experience with ad technology, audience activation, campaign delivery, reach and frequency, attribution, incrementality, or reporting.
- Snowflake SnowPro Core, Databricks Data Engineer Associate, or similar certification.
Culture & Benefits
- Fully remote work from a non- worksite, most commonly an employee’s residence.
- Medical, dental, and vision insurance.
- 401(k), paid leave, and tuition reimbursement.
- Additional employee discounts and perks.
- External candidates may be asked to attend an in-person interview at an location.
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