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Зарплата выше рынкаЧеткое определение ролиПродуктовая компанияГибридная модель работы
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Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Research Engineer (AI): Building demos, evaluations, prototypes, and enablement materials that demonstrate Anthropic model capabilities and help customers adopt new AI products, with an accent on large language models, customer-facing technical problem solving, and product feedback. Focus on testing model strengths and limitations, designing domain-specific evals, solving novel customer challenges, and translating field insights into product and research roadmaps.
Location: San Francisco, CA or New York City, NY. Hybrid policy requires staff to work from one of the offices at least 25% of the time; occasional travel to customer sites is required.
Annual salary: $300,000–$400,000 USD.
Company
Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
What you will do
Embed with product teams and become a technical expert on new AI products and capabilities.
Lead early model testing, field-readiness assessments, and technical enablement throughout product launches.
Build demos, evaluations, prototypes, playbooks, training sessions, and reference architectures.
Work hands-on with strategic customers to solve novel technical challenges and package solutions for broader teams.
Synthesize customer insights, adoption patterns, blockers, and capability gaps for Product, Engineering, and Research roadmaps.
Partner with Sales and Applied AI teams on high-value accounts and customer workshops.
Requirements
6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or in a similar technical role.
Strong proficiency in at least one programming language and strong technical problem-solving skills.
Meaningful experience building with large language models, including LLM-powered products, agents, workflows, or production integrations.
Experience designing evaluations, building prototypes, or creating technical enablement for complex products.
Excellent communication skills for explaining complex topics to diverse internal and external stakeholders, including executives.
Bachelor’s degree or equivalent education, training, and experience in a relevant field.
Culture & Benefits
Collaborative environment focused on safe, trustworthy, and beneficial AI.
Competitive compensation and benefits with optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours and office-based collaboration.
Visa sponsorship is available, with immigration lawyer support, depending on the role and candidate.
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