aillmragdistributed systemscloud computingapi designbackend architectureagentic systemsresponsible ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$208к-312к/год
$190к$220кмедиана$240к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $4.2к/мес ($3.5к - $5к)
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Крутая вакансия
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В Company hidden четко определена senior-роль с разработкой агентных систем для реальных продуктов и заметной ответственностью в быстроразвивающейся сфере; требование проводить не менее половины каждого квартала в офисе или с клиентами важно учитывать при оценке формата работы.
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Регулярные выездыИИ для реальных продуктовЧеткая зона ответственностиСовременный ИИ-стекОтветственность и наставничество
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Engineer (AI/LLM): Building and integrating production-grade intelligent agents into Workday’s enterprise platform with an accent on AI orchestration, responsible AI, and scalable product delivery. Focus on designing multi-agent workflows, applying guardrails to sensitive HR and financial data, and solving latency, cost, reliability, and explainability challenges.
Location: Pleasanton, California, United States; Flex Work with at least 50% of time each quarter in the office or in the field with customers, prospects, and partners.
Annual base salary: $208,000–$312,000 USD for the primary Pleasanton location; additional US locations: $176,000–$312,000 USD.
Company
hirify.global is a Fortune 500 company and AI platform for managing people, money, and intelligent agents.
What you will do
Design, implement, and integrate intelligent-agent systems into hirify.global products.
Develop and orchestrate complex agentic workflows using foundational models and modern AI APIs.
Build scalable application layers around AI models for predictable, reliable, and user-friendly product experiences.
Implement responsible and governed AI practices, including privacy guardrails, security layers, predictability, explainability, and evaluation mechanisms for sensitive HR and financial data.
Optimize latency, cost, token usage, context-window efficiency, and overall system reliability.
Lead engineering workstreams within a cross-functional pod and mentor junior-to-mid-level engineers.
Requirements
8+ years of professional software engineering experience with strong expertise in backend architecture, distributed systems, and API design, plus 1+ year building production-grade LLM or agentic systems; or 5+ years in Machine Learning Engineering or AI application development with 2+ years shipping LLM-backed products.
2+ years of hands-on experience integrating LLMs, foundation models, and modern AI APIs into user-facing enterprise products.
1+ year designing and scaling AI orchestration architectures, including multi-agent frameworks, routing layers, or advanced RAG pipelines.
4+ years optimizing application performance, including API latency and user interaction design, with 1+ year addressing modern LLM constraints such as token management, cost optimization, and context-window efficiency.
4+ years of experience using cloud computing platforms, such as AWS or GCP, to deploy highly responsive and scalable systems.
Bachelor’s degree in Computer Science, Software Engineering, or an equivalent technical field.
Strong understanding of responsible AI governance, guardrails, security layers, and evaluation mechanisms for autonomous agents handling sensitive enterprise HR and financial data.
Proven technical leadership of engineering workstreams, ownership of the development lifecycle, and mentorship of junior-to-mid-level engineers.
Ability to apply deep learning and large models to practical end-user problems with a strong focus on business value and user experience.
Ability to prototype rapidly, benchmark model outputs against product requirements, and establish automated evaluation metrics for retrieval quality and agentic behavior.
Ability to work autonomously through ambiguity and turn open-ended product goals into concrete, scalable engineering solutions.
Nice to have
Master’s degree in Computer Science, Software Engineering, or an equivalent technical field.
Culture & Benefits
Cross-functional AI teams combine product leaders, AI engineers, and full-stack builders.
Teams own problems end to end and work on production-grade AI used by millions of people.
Flex Work combines in-person and remote work, with flexibility in scheduling and time spent together.
Potential eligibility for the hirify.global Bonus Plan or role-specific commission/bonus.
Potential annual refresh stock grants and comprehensive benefits.
Reasonable accommodations are available during the application process.
Hiring process
Recruiters provide additional compensation details during the hiring process.
Employee referrals are supported through hirify.global’s referral process.
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