Applied AI Engineer (AI)

TL;DR

Applied AI Engineer (AI): Designing and implementing production-ready AI agent systems on top of KPU technology with an accent on agentic workflows and enterprise-grade reliability. Focus on building robust evaluation frameworks, optimizing LLM performance, and transforming RAG systems into accountable enterprise applications.

Location: Fully Remote (Europe)

Company

Agentic process automation platform helping enterprises automate complex, decision-heavy processes using AI-driven problem solving and programmatic execution.

What you will do

• Design and implement end-to-end AI agent workflows using KPU technology.
• Build robust evaluation datasets and frameworks to measure agent performance, reliability, and accuracy.
• Optimize workflows for performance, explainability, and enterprise-grade reliability.
• Iterate on solutions directly with customers to rapidly solve real-world enterprise problems.
• Integrate and push the boundaries of LLMs, RAG systems, and AI agents in production environments.

Requirements

• Demonstrable experience building and shipping AI-powered features to production.
• Strong hands-on experience with LLMs, evaluations, prompt optimization, and context engineering.
• Strong software engineering background with proficiency in Python for production system development.
• Understanding of ML system evaluation methodologies and performance optimization.
• Ability to thrive as an individual contributor in a fast-paced, ambiguous startup environment.
• Must be based in Europe.

Culture & Benefits

• Opportunity to join an early-stage AI startup following a $25m Seed Round.
• Work with cutting-edge Agentic Process Automation technology reshaping enterprise AI deployment.
• Directly influence how major multinational organizations transform critical business processes.
• Collaborate with deep technical and industry experts in a high-growth environment.
• Inclusive workplace committed to Equal Employment Opportunity.