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6 часов назад

Forward Deployed Engineer (AI)

150 000 - 210 000$
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Forward Deployed Engineer (AI): Building and scaling AI/ML solutions for financial services organizations with an accent on LLMs, agentic workflows, and RAG pipelines. Focus on designing production-grade AI systems, ensuring model governance, and translating complex business requirements into measurable technical impact.

Location: Must be based in the United States

Salary: $150,000–$210,000

Company

hirify.global is a global consultancy specializing in strategy, management, and technology transformation for the financial services industry.

What you will do

  • Own the full lifecycle of AI/ML projects from problem framing and data acquisition to deployment and continuous monitoring.
  • Design and implement RAG pipelines and agentic workflows using vector databases and modern LLM frameworks.
  • Build scalable data pipelines for structured and unstructured enterprise data.
  • Establish robust evaluation frameworks for hallucination, bias, and fairness to meet strict financial industry governance standards.
  • Optimize model inference latency, throughput, and cost in production environments.
  • Collaborate with cross-functional teams to translate complex business problems into AI-native solutions.

Requirements

  • Must be based in the United States
  • Bachelor's degree in a related field with at least 5 years of experience in production-grade AI/ML solutions.
  • Proven experience with at least one production LLM agent or agentic workflow.
  • Strong proficiency in Python and SQL, with hands-on experience in AI/ML frameworks like TensorFlow or PyTorch.
  • Experience in a consultative or client-facing role.
  • Familiarity with model risk management and trustworthy AI practices in regulated industries.

Nice to have

  • Experience with LangGraph, LangChain, or DSPy.
  • Proficiency in cloud-native development (AWS, Azure, GCP) and data warehousing (Snowflake).
  • Experience with Docker, Kubernetes, and CI/CD pipelines.

Culture & Benefits

  • Competitive salary with annual profit-sharing opportunities.
  • 401k matching and comprehensive medical, dental, and vision coverage.
  • 25 days of annual paid time off.
  • 5 days of paid training time per year with support for professional certifications.
  • Reimbursement for commuting, mobile phone, and home internet expenses.
  • Collaborative, meritocratic environment with exposure to senior leadership.

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