Remote AI Infrastructure Engineer - GPU/ML Ops

Pragmatike; Poland; On-site; PLN 364,033 - 473,242; Full time

Benefits offered by this job

Ownership of critical infrastructure

High-growth startup environment

Inclusive recruitment process

Job summary

Pragmatike is seeking an AI Infrastructure Engineer for a fully remote position. The ideal candidate will have over 4 years of experience in ML Ops or related infrastructure roles, with expertise in production-grade model serving and GPU-based workloads. Responsibilities include building scalable ML inference platforms and optimizing system performance. Join a fast-scaling cloud infrastructure startup focused on next-generation AI-native cloud services. Candidates must be comfortable working in a remote-first environment and have a strong technical background.

Qualifications

• 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems.
• Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent.
• Strong background in container orchestration and operating GPU-based workloads in production.

Responsibilities

• Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent.
• Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models.
• Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers.

Job description

Pragmatike is seeking an AI Infrastructure Engineer for a fully remote position. The ideal candidate will have over 4 years of experience in ML Ops or related infrastructure roles, with expertise in production-grade model serving and GPU-based workloads. Responsibilities include building scalable ML inference platforms and optimizing system performance. Join a fast-scaling cloud infrastructure startup focused on next-generation AI-native cloud services. Candidates must be comfortable working in a remote-first environment and have a strong technical background.