AI Engineer – Agents

Role Overview

• Design, build, deploy, and operate production AI agents and workflows.
• Integrate models and workflows with APIs, databases, and internal systems.
• Create evaluation harnesses and test datasets to measure success metrics.
• Implement LLMOps foundations: tracing, monitoring, and alerting.
• Define autonomy gates and operational runbooks with domain owners.
• Improve agents through production feedback and failure analysis.
• Build reusable agent components for safe shipping on a shared paved road.
• Stay hands-on in code, system design, debugging, and technical decision-making.

Requirements

• Strong experience building and operating production software systems.
• Excellent engineering fundamentals, ideally in Python and/or TypeScript.
• Hands-on experience building LLM applications or AI agents.
• Practical experience with LLMOps: evaluation, observability/tracing.
• Strong understanding of reliability and security in systems.
• Experience with AWS, Databricks, Snowflake, and modern AI frameworks is a plus.
• Product-minded and comfortable translating operational problems into systems.
• Fluent in English and based in the European time zone (UTC+0 to UTC+2).

Tech Stack

• AWS
• Python
• TypeScript

Benefits

• Remote-First Model: You can work flexibly from anywhere.
• One Team, One Vision, One Goal: Collaboration and camaraderie.
• Epic Team Gatherings: Yearly networking and brainstorming events.
• Growth and Development: Lifelong learning and personal development opportunities.
• 5 Years? 5 Weeks!: Bonus vacation after five years.
• Birthday Celebrations: Take your birthday off guilt-free.
• Flexible Hours: Work-life balance with flexible hours.
• Wellbeing Matters: Access to Headspace meditation app.
• BetterHelp Support: Professional online therapy and counseling support.