Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$150к-200к/год
$180к$220кмедиана$250к
По похожим ролям (50) ~ $220к/год
На СНГ рынке: $4.2к/мес ($3.6к - $5к)
89
Крутая вакансия
развернуть
Понятная роль с полным циклом от бизнес-задачи до внедрения AI-решений в продакшн и высокой ответственностью; обязательная работа в офисе снижает гибкость.
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Работа из офисаСовременный AI-стекПонятные задачиПрактическое применение
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed AI Engineer (Enterprise AI/Robotics): Building and deploying AI agents, intelligent applications, and automated workflows that connect with enterprise systems, with an accent on retrieval, integrations, security, and production reliability. Focus on translating ambiguous business challenges into production-ready solutions, grounding models in enterprise data, and measuring business impact through evaluations, monitoring, and reusable architectures.
Location: Wilmington, Massachusetts, United States
Salary: $150,000–$200,000 annually, plus bonus and equity
Company
hirify.global builds AI-powered systems and intelligent robots for global supply chains, combining real-time decision-making with autonomous robotics.
What you will do
Partner with teams across hirify.global to identify high-value AI opportunities and transform manual or complex workflows.
Translate loosely defined business challenges into secure, production-ready AI tools, agents, assistants, and automated workflows.
Build integrations with enterprise systems and data using APIs, connectors, MCP, retrieval, structured outputs, and human oversight.
Develop secure grounding and retrieval capabilities using ingestion, metadata, embeddings, search, and reranking.
Measure business outcomes and turn successful implementations into reusable components, templates, reference architectures, and documented patterns.
Requirements
Bachelor's degree in computer science, engineering, or a related technical discipline.
4+ years of professional software engineering experience building, deploying, and supporting production applications.
Strong Python proficiency and experience building APIs, integrations, and automation connected to enterprise systems and data.
Hands-on experience with large language models, commercial or open model APIs, AI agents, and agentic workflows.
Experience building and deploying enterprise AI agents or agentic workflows with platforms such as Glean, Claude, or comparable enterprise AI, agent, and orchestration platforms.
Ability to work directly with business stakeholders, translate ambiguous needs into technical solutions, and iterate from user feedback.
Working knowledge of RAG, including embeddings, semantic or hybrid search, prompt and context engineering, and structured model outputs.
Experience integrating Microsoft 365, Salesforce, Slack, Jira, Confluence, ERP systems, and modern data platforms.
Understanding of enterprise application security, including authentication, authorization, OAuth/OIDC, role-based access controls, and permission-aware data access.
Familiarity with MCP or similar standards, vector databases, enterprise search, and knowledge retrieval systems.
Proficiency with automated testing, version control, CI/CD, application observability, and production support.
Demonstrated ownership, sound judgment, cross-functional collaboration, and excellent written and verbal English communication.
Culture & Benefits
Meaningful work with real-world impact on technology used at global scale.
Continuous learning and career growth opportunities.
Collaboration with IT, Security, governance teams, and internal business stakeholders.
Bonus and equity in addition to the base salary.
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