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2 дня назад

Forward Deployment Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
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 Deployment Engineer (AI): Developing and deploying custom Generative AI and Agentic AI solutions for enterprise customers with an accent on RAG architectures and multi-agent ecosystems. Focus on rapid prototyping, end-to-end delivery from scoping to production, and translating complex business requirements into scalable technical outcomes.

Location: RMZ TITANIUM (Hybrid)

Company

hirify.global runs and reimagines the mission-critical technology systems that drive advantage for the world’s leading businesses.

What you will do

  • Partner with customers to translate business challenges into high-quality, fit-for-purpose technical AI solutions.
  • Build and iterate custom AI prototypes utilizing Agentic AI frameworks and orchestration tools.
  • Own the full delivery lifecycle from initial scoping to production deployment.
  • Troubleshoot and optimize system performance, scalability, and reliability of deployed AI systems.
  • Capture field intelligence and document best practices to enhance hirify.global’s core AI platforms.
  • Collaborate within a triad delivery model consisting of engineering, consulting, and product expertise.

Requirements

  • 3-6 years of IT experience, with at least 2 years in GenAI solutions and 1 year in Agentic AI Frameworks/Deployment.
  • Expertise in Python and experience with AI/ML frameworks such as TensorFlow or PyTorch.
  • Proven experience designing multi-agent systems using frameworks like LangGraph, Semantic Kernel, AutoGen, or CrewAI.
  • Practical knowledge of deploying RAG architectures and integrating structured/unstructured knowledge sources.
  • Strong software engineering foundation including Git, GitHub, Pandas, Spark, and cloud AI platforms (AWS, Azure, Google AI).
  • Willingness to travel and work on customer premises as required.

Nice to have

  • Familiarity with community-driven AI tools and libraries, including Hugging Face.
  • T-shaped profile with deep technical expertise in one or two AI domains and broad cloud/consulting knowledge.

Culture & Benefits

  • Hybrid-friendly culture with a focus on well-being through dedicated Be Well programs.
  • Access to professional certifications from major platforms including Microsoft, Google, and Amazon.
  • Clearly defined career progression paths from Junior to Principal levels.
  • Collaborative environment emphasizing empathy, inclusion, and shared success.
  • Personalized development goals and a culture of restless learning.

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