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17 часов назад

Senior AI/ML Engineer

Формат работы
remote (только USA)
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

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TL;DR

Senior AI/ML Engineer (PyTorch/vLLM): Lead development of production multi-agent systems and custom AI frameworks with an accent on distributed inference pipelines, agent orchestration patterns, and resilient enterprise systems. Focus on designing kernel-level optimizations, model serving infrastructure, and translating research-grade ML into shippable products.

Location: Remote (US)

Company

hirify.global is an AI-native engineering firm specializing in enterprise services, domain-specific solutions, and high-performance infrastructure for commercial enterprises and government agencies. Certified Service-Disabled Veteran-Owned Small Business (SDVOSB).

What you will do

  • Architect and ship multi-agent orchestration systems including planner/executor, tool-use, and reflection loops
  • Design and optimize custom inference stacks with kernel-level work (CUDA/Triton), quantization, speculative decoding, paged attention, and KV-cache engineering
  • Lead production-scale model serving on vLLM, TensorRT-LLM, or equivalent
  • Mentor engineers on reinforcement learning, RLHF/DPO, and agent evaluation
  • Partner with research and product teams to integrate novel techniques into deployable systems

Requirements

  • 5+ years building and shipping production ML systems
  • Deep expertise in transformer internals, attention mechanisms, and modern inference optimization
  • Experience with vLLM, TensorRT-LLM, custom CUDA/Triton kernels, or distributed training (DeepSpeed/FSDP)
  • Production experience with multi-agent frameworks (LangGraph, AutoGen, CrewAI) or custom orchestration
  • Strong software engineering: Python, type-safe APIs, testing, observability

Nice to have

  • PhD in CS, ML, or related; or equivalent published research
  • Open-source contributions to inference, agent, or training frameworks
  • Experience with MoE architectures, long-context attention, or RL for tool use

Culture & Benefits

  • Professional development and skill-building opportunities
  • Supportive Veteran-owned management with AI productivity tools provided
  • Comprehensive benefits: 401(k) with match, medical/dental/vision insurance, short/long-term disability, PTO, profit sharing
  • Long-term contract engagements with potential extension on impactful client projects

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