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2 дня назад

Forward Deployed AI Engineer

150 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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.
  • Implement authentication, authorization, audit logging, observability, cost controls, evaluations, regression testing, deployment, and monitoring.
  • 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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