Forward Deployed Engineer (AI Cost Optimization)

Quick Facts

• Role: Forward Deployed Engineer (AI Cost Optimization)

• Focus: Applied AI and software engineering for measuring and optimizing LLM workload costs

Description

You will develop and expand a toolkit to measure, replay, evaluate, and route LLM workloads, helping deliver predictable AI unit costs. You will design experiments to compare model/configuration quality, latency, and cost, and interpret results to drive optimizations. You will also work with customers to instrument their AI workloads and deploy the solution end-to-end, feeding findings back into the product.

Responsibilities

• Develop the product toolkit for measuring, replaying, evaluating, and routing LLM workloads

• Plan and run experiments comparing models/configurations; evaluate quality, latency, and cost

• Instrument customer AI workloads, measure and analyze them, and support deployment in customer environments

• Take end-to-end ownership from problem understanding through design, implementation, and operations

• Collaborate with the founding team on technical standards and engineering practices

Requirements

• 1–3 years of Python engineering experience (or less if you have strong personal projects)

• Practical LLM experience: API, prompting, cost, latency, and evaluation; understand why model outputs can vary

• Practical agent systems experience: tool calling and multi-step workflows where quality and cost are affected

• Data experience: processing, cleaning, and analysis of logs and telemetry

• Basic deployment/operations knowledge: Docker, containers, cloud (ideally AWS), and CI/CD

• Ability to turn unclear problems into concrete technical tasks and deliver

• Ability to work independently, experiment, and validate hypotheses with data

• Comfort communicating with customers and explaining technical topics clearly

• Responsible handling of customer data (data remains in the customer environment)

• Comfort in a small startup environment where processes are still being built

Benefits

• Close collaboration with the founding team with real impact on product and company direction

• Rapid professional growth toward increased technical and customer ownership (potential path to Senior FDE)

• Broad technical scope across experimentation, engineering, and real customer deployments

• Work on AI systems that solve real business processes and their operating economics

• Compensation: 60,000–100,000 CZK per month based on experience and autonomy

• Flexibility: hybrid in Prague; employment options HPP or contractor (IČO)