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Описание вакансии
Текст:
TL;DR
AI Engineer (Python/LLMs): Building and deploying scalable AI applications, intelligent agents, and AI-powered features for an enterprise generative AI platform with an accent on large language models, production machine learning, and responsible AI. Focus on architecting high-performance systems, integrating MLOps and cloud infrastructure, and evaluating bias, explainability, and safety alignment.
Location: Hybrid work in San Francisco, New York City, or Seattle, United States
Base compensation: $220,000–$259,000 in San Francisco and New York City; $198,000–$233,000 in other US locations. Equity is offered.
Company
Writer provides an end-to-end enterprise generative AI platform for building and deploying AI agents grounded in company data and powered by enterprise-grade large language models.
What you will do
- Architect, develop, and deploy high-performance AI applications in production.
- Build intelligent agents and AI-powered features for enterprise customers.
- Integrate AI applications with the end-to-end platform and ensure scalability.
- Collaborate with research scientists, data scientists, and product managers on technical requirements and product delivery.
- Evaluate emerging AI technologies, frameworks, and tools.
- Implement responsible AI practices, including bias detection, explainability, and safety alignment.
Requirements
- 5+ years of professional experience building and deploying machine learning or AI systems in production.
- Strong Python skills and experience with PyTorch, TensorFlow, or JAX.
- Knowledge of machine learning, deep learning architectures, natural language processing, and large language models.
- Experience with AWS, GCP, or Azure and MLOps tools for managing the AI lifecycle.
- Ability to write clean, efficient, and well-tested code for scalable software systems.
- Strong problem-solving skills and the ability to collaborate across diverse teams.
Culture & Benefits
- Generous paid time off and company holidays.
- Medical, dental, and vision coverage for employees and families.
- 16 weeks of paid parental leave for all parents.
- Fertility and family planning support, early-detection cancer testing, FSA, and HSA options.
- Wellness and learning and development stipends.
- Company and team off-sites, stock options, and a 401(k).
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