AI Platform Engineer: Scalable ML Infra & Production

ActAI; Warszawa; On-site; PLN 220,000 - 320,000; Full time

Job summary

ActAI in Warsaw is hiring an ML Platform Engineer to build the infrastructure powering our AI capabilities. You will design and operate the systems behind the AI stack, from model training and evaluation to deployment, inference, observability, and continuous improvement.

You will collaborate with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure.

Qualifications

• Experience building production ML infrastructure.
• Experience with model deployment, inference, and data pipelines.
• Strong understanding of distributed systems and reliability.
• Ability to write clean, production-quality code.

Responsibilities

• Build ML infrastructure and platforms powering ActAI's AI products.
• Design systems for model training, evaluation, deployment, inference, and experimentation.
• Build and optimise model serving and inference infrastructure for high-throughput and low-latency workloads.
• Improve reliability, scalability, latency, and cost efficiency of AI systems.
• Develop reliable pipelines for data preparation, training, evaluation, model release, and continuous improvement.
• Build platforms and tooling that enable AI engineers and researchers to experiment, evaluate, and ship models faster.
• Develop evaluation and benchmarking infrastructure to measure model quality, performance, and regressions.
• Build production observability, monitoring, tracing, and alerting for AI/ML workloads.

Skills

Python

PyTorch

JAX

LLM serving

TensorRT-LLM

Cloud infrastructure

Distributed systems

ML pipelines

GPU tooling

Vector databases

Tools

vLLM

SGLang

TensorRT-LLM

Job description

ActAI in Warsaw is hiring an ML Platform Engineer to build the infrastructure powering our AI capabilities. You will design and operate the systems behind the AI stack, from model training and evaluation to deployment, inference, observability, and continuous improvement.

You will collaborate with AI engineers, researchers, and product teams to turn evolving model requirements into production-ready infrastructure.