Senior AI Performance Engineer

Stech Technology UK Limited; Chiasso; Hybrid; CHF 140,000 - 200,000; Full time

Benefits offered by this job

Remote-friendly with flexible working

Access to latest models and compute

Mission that matters

Job summary

Polus in Switzerland seeks a senior AI/ML performance lead to own AI performance across the business, working directly with the CEO and leadership to shape how we deploy and optimise AI across products. You will influence engineering and product strategy and drive efficiency across platforms.

You will monitor, test and improve AI systems, maintain benchmarks and costs, stay ahead of new models, and coach engineers to raise AI knowledge throughout the company as it grows.

Qualifications

• Proven experience optimising large-scale AI/ML systems in production.
• Hands-on knowledge of LLMs, transformers, and deployment trade-offs.
• Strong Python skills and familiarity with ML tools (MLflow, Weights & Biases, Ray).
• Experience with cloud AI infrastructure (AWS, GCP, Azure) and inference serving (vLLM, TorchServe).
• Data-driven problem solving with clear metrics and business cases.
• Good communication to influence across teams.

Responsibilities

• Own AI performance across the business.
• Monitor, test and improve AI across platforms.
• Maintain standards, tools and benchmarks for AI performance.
• Collaborate with product and engineering leads on AI direction.
• Own AI cost and performance, balancing speed, accuracy and cost.
• Stay ahead of AI models, tools and frameworks.
• Coach and upskill engineers across teams.
• Build a function around AI optimisation; future team growth.

Skills

AI/ML optimization

LLMs & transformers

Python

MLOps tooling

Cloud platforms

Data-driven metrics

Cross-functional comms

Tools

MLflow

Weights & Biases

Ray

TorchServe

vLLM

TGI

Job description

Polus in Switzerland seeks a senior AI/ML performance lead to own AI performance across the business, working directly with the CEO and leadership to shape how we deploy and optimise AI across products. You will influence engineering and product strategy and drive efficiency across platforms.

You will monitor, test and improve AI systems, maintain benchmarks and costs, stay ahead of new models, and coach engineers to raise AI knowledge throughout the company as it grows.