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9 часов назад

Forward Deployed Engineer (AI)

170 000 - 225 000$
Формат работы
remote (только USA)/hybrid
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 Engineer (AI): Deploying production-grade AI systems for enterprise, government, and regulated-industry clients with an accent on large language models, fine-tuning, agentic workflows, and trustworthy AI. Focus on designing data pipelines and retrieval frameworks, integrating agents across cloud and on-premise environments, and optimizing model performance, monitoring, and security.

Location: Austin, Texas; Menlo Park, California; or Reston, Virginia, United States. Flexible hybrid work with remote options; willingness to travel 25–75% is required. Applicants must be U.S. citizens, lawful permanent residents, protected individuals, or eligible to obtain required U.S. government authorizations.

Salary: $170,000–$225,000 USD per year, with potential bonus, equity, and other incentive compensation.

Company

hirify.global develops explainable, trustworthy, and secure AI solutions for enterprises, government agencies, and regulated industries through its hirify.globalFlow platform.

What you will do

  • Transform AI proofs of concept, demos, and prototypes into robust production systems.
  • Design and deploy data pipelines, retrieval frameworks, and RAG-based applications for enterprise data.
  • Fine-tune, evaluate, and deploy large language models and agentic workflows with grounded, explainable, and compliant outputs.
  • Integrate AI agents into customer environments and containerize and orchestrate deployments across AWS, Azure, GCP, private cloud, hybrid, and on-premise environments.
  • Work directly with client engineering teams and stakeholders to debug model behavior, optimize inference, and implement monitoring and guardrails.
  • Create reusable playbooks, evaluation frameworks, and deployment accelerators for scalable AI adoption.

Requirements

  • Bachelor’s degree in computer science, engineering, mathematics, physics, data science, or a related field.
  • 6+ years of professional experience in software engineering, data engineering, or applied machine learning, including production system deployment.
  • Hands-on experience with AI/ML and LLM frameworks such as PyTorch, Hugging Face, LangChain, or vLLM, including model fine-tuning and agent deployment.
  • Experience with enterprise security, compliance, performance standards, on-premise and multi-cloud environments, Docker, and Kubernetes.
  • Proficiency in at least one modern programming language, such as Python, Java, C++, TypeScript, or JavaScript.
  • Ability to work in the United States under applicable U.S. government international trade regulations and willingness to travel 25–75%.

Nice to have

  • Experience with graph databases and languages, React, CI/CD, GitHub or GitLab, Terraform, CloudFormation, vector databases, RAG architectures, and enterprise data integration.
  • Experience with monitoring, logging, observability, responsible AI, and Trustworthy AI principles.
  • Experience building client-facing applications or agentic workflows from prototype to scalable deployment.
  • Strong communication skills for presenting technical concepts to diverse audiences.

Culture & Benefits

  • Mission-driven work focused on secure, explainable, and trustworthy AI for critical systems.
  • Flexible hybrid work environment with offices in Reston, Virginia, and Austin, Texas, plus remote options and flexible working hours.
  • Unlimited paid time off and 14 paid company holidays.
  • Equity ownership through RSUs and competitive total rewards.
  • 401(k) plan with company matching, medical, dental, vision, and life insurance from day one.
  • Paid parental leave.

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