Engineering Manager - AI Product(100% Remote EMEA)

Pragmatike · Remote · Armenia ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (EMEA)
  • AI Engineering Manager
  • Model inference focus
  • Small high-impact team
  • English required

Lead a high-leverage team of AI engineers and researchers building systems that power AI-enabled products and model inference offerings. This hybrid people/technical leadership role involves managing daily operations, setting technical direction, and driving delivery from applied ML features to scalable production infrastructure.

What you'll do

  • Manage, coach, and grow a team of AI/ML engineers and researchers
  • Translate ambiguous product goals into scoped engineering plans
  • Co-own roadmap and operations for model serving infrastructure
  • Partner with scientists to move models from experiment to production
  • Set engineering standards for code quality and incident response
  • Collaborate with Product and Infrastructure teams to remove blockers
  • Report progress and risks to engineering leadership

What you'll need

  • 7+ years in technical leadership or engineering management
  • Strong prior track record as hands-on engineer or researcher
  • Experience building AI/ML platform or inference infrastructure
  • Working knowledge of AI/ML lifecycle and production deployment
  • Technical fluency in model inference and serving frameworks
  • Ability to manage both researchers and engineers effectively
  • Strong judgment on scoping research-adjacent projects
  • Excellent communication skills for technical and non-technical stakeholders

Nice to have

  • Experience owning production systems reliability
  • Background in incident response for production inference

Stack

  • vLLM
  • Triton
  • GPU scheduling
  • Model serving frameworks

How you'll work

  • Fully remote position
  • Europe Time Zone alignment
  • Start date ASAP

What you get

  • Remote-first flexibility
  • High leverage small team environment
  • Opportunity to shape AI product capabilities
  • Work with cutting-edge LLM and GPU technology