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Job Description

In this hybrid AI engineering role at WRITER, you will design, build, and deploy production-grade AI systems and AI agents that improve scalability, performance, and ethical alignment of large language models using enterprise data. The position reports to the head of AI engineering.

Location and Work Setup

  • San Francisco, CA (hybrid)

Compensation

  • USD 198,000 - 259,000 per year

Key Responsibilities

  • Architect, develop, and deploy high-performance, scalable AI applications into production environments with robust integrations into the end-to-end platform.
  • Build intelligent agents and AI-powered features by translating complex research into practical solutions for customers.
  • Work closely with research scientists, data scientists, and product managers to define technical requirements and deliver features aligned to business needs.
  • Support research and evaluation of emerging AI technologies, frameworks, and tools to maintain leadership in enterprise generative AI.
  • Promote responsible AI practices, including bias detection, explainability, and safety alignment, to keep AI trustworthy and ethical.

Required Qualifications

  • 5+ years of professional experience building and deploying machine learning or AI systems in production.
  • Proficiency in Python and experience with AI/ML frameworks including PyTorch, TensorFlow, or JAX.
  • Strong foundation in machine learning principles, deep learning architectures, and natural language processing, with particular focus on large language models.
  • Experience with cloud platforms such as AWS, GCP, or Azure, and with MLOps tools to manage the AI lifecycle.
  • Ability to write clean, efficient, and well-tested code for scalable software systems.
  • Exceptional problem-solving skills and a strong interest in addressing complex technical challenges through creative AI solutions.
  • Collaboration across teams, commitment to innovation, and ownership of projects with an emphasis on impact and excellence.

Technologies

  • Python
  • PyTorch
  • TensorFlow
  • JAX
  • AWS
  • GCP
  • Azure

Benefits

  • Generous PTO plus company holidays
  • Medical, dental, and vision coverage for you and your family
  • Paid parental leave for all parents (16 weeks)
  • Fertility and family planning support
  • Early-detection cancer testing through Galleri
  • Flexible spending account and dependent FSA options
  • Health savings account for eligible plans with company contribution
  • Annual work-life stipends for wellness (gym, massage/chiropractor, personal training, etc.)
  • Annual work-life stipend for learning and development
  • Company-wide off-sites and team off-sites
  • Competitive compensation, company stock options, and 401k

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