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Forward Deployment Engineer (AI)

Формат работы
hybrid/onsite
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): Building and deploying custom AI solutions for enterprise customers with an accent on agentic AI frameworks, RAG architectures, and multi-agent orchestration. Focus on rapid prototyping, end-to-end delivery, and translating complex business requirements into scalable, production-ready AI systems.

Location: Hybrid/Onsite (RMZ TITANIUM). Willingness to travel and work on customer premises is required.

Company

hirify.global is a global technology services company that designs, builds, manages, and modernizes mission-critical technology systems for the world's leading businesses.

What you will do

  • Partner with customers to translate business challenges into high-quality, fit-for-purpose AI solutions.
  • Build and iterate custom AI solutions using agentic AI frameworks and orchestration tools.
  • Own the end-to-end delivery lifecycle, from initial scoping to production deployment.
  • Troubleshoot and enhance system performance, scalability, and reliability in dynamic environments.
  • Capture field intelligence and best practices to contribute to the evolution of core AI platforms.
  • Collaborate within a triad delivery model alongside engineering, consulting, and product experts.

Requirements

  • 2-4 years of relevant IT experience, including at least 1 year in Agentic AI frameworks and ML.
  • At least 1 year of experience in building and deploying generative AI solutions.
  • Demonstrable expertise in Python programming.
  • Experience with multi-agent systems and orchestration frameworks like LangGraph, Semantic Kernel, or AutoGen.
  • Practical knowledge of RAG architectures and integrating knowledge sources.
  • Willingness to travel and work on customer premises as required.

Nice to have

  • Experience with AI/ML frameworks such as TensorFlow or PyTorch.
  • Familiarity with observability and evaluation platforms like LangSmith.
  • Experience with cloud AI platforms (AWS, Azure, Google AI).

Culture & Benefits

  • Flexible, supportive work environment prioritizing employee well-being.
  • Access to cutting-edge learning opportunities and certifications from Microsoft, Google, and Amazon.
  • Clearly defined career progression pathways from Junior to Principal levels.
  • Focus on empathy, restless learning, and shared success within a global team.
  • Comprehensive Be Well programs supporting financial, mental, physical, and social health.

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