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7 дней назад

Senior GenAI Engineer

180 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior GenAI Engineer (Generative AI/LLMs): Building and scaling enterprise AI applications and infrastructure for IT automation, knowledge discovery, business intelligence, and productivity enhancement with an accent on LLM fine-tuning, enterprise integrations, and MLOps/LLMOps. Focus on deploying production-grade AI features, optimizing model performance and latency, and integrating solutions with ServiceNow, GitHub, Tableau, and SharePoint.

Location: Secaucus, United States; hybrid schedule with one remote day per week

Salary: $180,000–$220,000 annually

Company

hirify.global is a global sports and media organization operating professional basketball leagues, digital platforms, broadcasting, and community initiatives worldwide.

What you will do

  • Design, develop, and scale Generative AI systems using LLMs for enterprise automation, knowledge discovery, and workflow acceleration.
  • Fine-tune large language and foundational models on enterprise-specific data while optimizing performance, latency, and relevance.
  • Integrate AI solutions with ServiceNow, GitHub, Tableau, SharePoint, and other enterprise platforms.
  • Build and maintain scalable MLOps and LLMOps infrastructure for model deployment, monitoring, and lifecycle management.
  • Develop AI-driven tools for internal support, IT ticketing, operational efficiency, and productivity improvement.
  • Lead proof-of-concepts through productionization, adoption planning, governance, documentation, training, and stakeholder collaboration.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related discipline.
  • At least 3 years of experience in applied AI/ML, preferably in enterprise environments.
  • Deep knowledge of Generative AI, LLMs, NLP, Transformers, and model fine-tuning.
  • Hands-on experience with Hugging Face, PyTorch, or TensorFlow, plus cloud AI infrastructure such as AWS, GCP, or Azure.
  • Experience with Docker, Kubernetes, ML pipelines, MLflow, Weights & Biases, or SageMaker.
  • Strong full-stack engineering skills with Python, JavaScript, Node, React, APIs, microservices, ETL pipelines, SQL, and NoSQL systems.

Culture & Benefits

  • Collaborative, fast-paced environment focused on enterprise AI transformation.
  • Opportunity to work with LLM platforms and cross-functional IT, business, and product teams.
  • Medical, dental, vision, life, disability, fertility and family-forming assistance, and wellbeing benefits.
  • Educational assistance, mental health coaching or therapy, HSA and healthcare or dependent care FSA accounts.
  • 401(k) retirement plan, vacation, sick time, personal days, and potential discretionary performance bonus.
  • Employees working onsite in New York and New Jersey offices must be fully vaccinated against COVID-19, subject to medical or religious accommodations.

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