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Lead Software Engineer (Generative AI)

175 000 - 219 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Software Engineer (Generative AI): Building infrastructure, tools, and scalable machine learning pipelines for enterprise generative AI applications with an accent on large language models, distributed systems, and production machine learning. Focus on architecting cross-product software frameworks, efficiently training and fine-tuning generative models, and leading complex application architecture and integration work.

Location: Redwood City, California, United States

Salary: $175,000–$219,000 USD per year

Company

hirify.global develops enterprise AI application software, including the C3 Agentic AI Platform, industry-specific SaaS applications, and generative AI solutions.

What you will do

  • Architect robust software engineering solutions and frameworks with cross-product impact.
  • Build systems and tools that enable enterprise applications to use generative AI technologies.
  • Develop scalable end-to-end machine learning pipelines across distributed systems and heterogeneous hardware, including GPUs and TPUs.
  • Research and implement efficient approaches for training and fine-tuning generative models with data scientists.
  • Lead the long-term development of the generative AI product suite and technical design discussions across application architecture, UI, UX, backend, integrations, and testing.
  • Manage project deliverables and mentor junior engineers on coding standards and design techniques.

Requirements

  • Bachelor’s degree in computer science, computer engineering, or a related field; a master’s degree is preferred.
  • 8+ years of professional software development experience with Python; Java and JavaScript experience is preferred.
  • Experience designing and developing full-stack web solutions for complex problems.
  • Strong knowledge of data structures, algorithms, profiling, optimization, DRY code, and object-oriented and functional programming.
  • In-depth understanding of machine learning and deep learning, with a proven record of applying machine learning algorithms in production.
  • End-to-end project ownership, strong communication skills, and demonstrated interest in generative AI technologies such as LangChain, Semantic Kernel, or ChatGPT Plugins.

Nice to have

  • Advanced degree in computer science, mathematics, or a similar quantitative field.
  • Knowledge of Agile development methodology.
  • Experience leading engineering teams and projects.

Culture & Benefits

  • Fast-paced, innovative, and highly collaborative engineering environment.
  • Collaboration with product managers, product owners, data scientists, and engineers.
  • Competitive compensation package, excellent benefits, and a generous equity plan.

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