AI Optimisation Engineer

Polus Tech

11h • Remote

About The Position

Polus is pioneering the Public Safety marketplace. Our products are used by Search & Rescue, first responders, and disaster relief teams globally. We are developing radio equipment that is compatible with cellular technologies. Our goal is simple. We aim to reinvent the way Public Safety is perceived and approached. We are tireless in our pursuit of connecting communities and ensuring a safer tomorrow, today. As our AI Optimisation Engineer, you will own and lead the AI performance agenda across our entire platform portfolio. From identifying inefficiencies to shipping optimisation strategies, your work will directly impact the technology our users depend on in the field. You will report directly to the CEO.

Requirements

• Proven experience optimising large-scale AI/ML systems in production. You have shipped real improvements, not just prototypes.
• Hands-on knowledge of LLMs, transformer architectures and the trade-offs involved in deployment, including quantisation, distillation, batching, caching and RAG.
• Strong software engineering fundamentals.
• Python proficiency is a given and familiarity with MLOps tooling such as MLflow, Weights & Biases or Ray is expected.
• Experience with cloud AI infrastructure on AWS, GCP or Azure, and with inference serving frameworks such as vLLM, TGI or TorchServe.
• A structured, data-driven approach to problem-solving. You define metrics before you start optimising and you can make a clear business case for your work.
• Good communication skills and the confidence to influence across engineering, product and leadership without needing a formal mandate.

Responsibilities

• Own AI performance across the business.
• Continuously monitor, test and improve how AI runs across all our platforms, treating optimisation as a permanent function rather than a one-off exercise.
• Maintain and evolve the standards, tools and benchmarks we use to measure AI performance, keeping them current as our products and models change.
• Sit at the table with product and engineering leads as a standing contributor, shaping how we build and make sure AI efficiency is considered at every stage.
• Hold long-term ownership of our AI cost and performance, making the day-to-day calls on the balance between speed, accuracy and cost as the business grows.
• Stay ahead of developments in AI models, tools and frameworks and continuously feed that knowledge back into how we operate.
• Coach and upskill engineers across teams as an ongoing responsibility, raising the bar on AI knowledge throughout the company over time.
• Build a function around AI optimisation. This role grows with the company and over time you may build a team around you.

Benefits

• Competitive salary and equity package.
• Remote-friendly with flexible working.
• A genuine seat at the table. Your decisions will shape how we build AI for years to come.
• Access to the latest models, compute resources and research partnerships.
• A mission that matters. Our work supports the people who keep communities safe.
• Flat structure, fast decisions and no bureaucracy.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed