Principal Backend Engineer

AI Agent Driven Development

We are looking for principal backend engineers to join a product engineering team responsible for building our client’s AI Evaluations Platform.

Start

ASAP

Duration

12 months

Location

Remote

Allocation

100%

We are hiring for a fast‑growing European AI scale-up that has quickly gained significant visibility in the market. Their platform is already used by major European enterprise customers to deploy and continuously improve advanced AI-driven solutions.

This role is suited for engineers who are highly proficient in applying AI‑assisted development tools and comfortable working in an AI‑agent‑driven engineering environment.

Responsibilities

Build scalable backend services and high‑performance APIs
Design distributed, event‑driven systems for AI agent simulation and evaluation
Handle data‑intensive workloads and real‑time processing pipelines
Ensure systems are reliable, observable, and production‑grade
Shape long‑term architectural direction and technical strategy
Collaborate with product and engineering teams to deliver high‑impact solutions
Operate with full lifecycle ownership across design, implementation, and operations

Ideal Candidate
We are targeting senior engineers with strong backend foundations and hands-on experience using AI tools as part of their daily development workflow. You bring:

strong experience designing and operating distributed backend systems
production expertise in Python or TypeScript
experience with event-driven or streaming architectures (e.g., Kafka, NATS)
strong capabilities in designing scalable APIs and backend services
experience operating production systems and handling incidents
a product-oriented approach and ability to navigate ambiguity
ability to independently drive technical solutions in a fast-paced environment

Experience with AI platforms, LLM tooling, or data-intensive systems is beneficial — but practical experience building in an AI‑augmented workflow is essential.

Technical Environment

Languages: Python, TypeScript
Architecture: distributed systems, event-driven workflows, message streaming
Infrastructure: Microsoft Azure
Engineering themes: observability, scalability, reliability, operational excellence
Workloads: large-scale simulation, evaluation pipelines, real-time data flows

AI-Augmented Engineering Workflow
This team operates in a deeply AI-native development environment, where multiple AI agents and tooling support everyday engineering activities.

Experience with AI‑agent‑driven development is required.

Engineers here work with:

AI coding assistants (e.g., Claude Code, Copilot, Codex)
AI-driven debugging, investigation, and issue triage
AI-supported refactoring, test generation, and workflow automation
AI tools integrated into development, testing, and operational processes

We are looking for engineers who are already fluent in using AI systems to accelerate problem‑solving, improve code quality, and enhance engineering velocity.

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