Senior Software Engineer, AI (Remote - Netherlands)

Justworks•International Falls, MN

2d•€143,000 - €184,000•Remote

About The Position

This role involves joining a small, highly autonomous cross-functional team to build AI agents that will fundamentally transform how operations work at scale. The team is developing an agent platform that can read operational knowledge, reason about it in context, and execute tasks end-to-end. This approach aims to scale complexity through knowledge and reasoning rather than solely through code. The work spans critical areas including LLM-powered agent design, robust backend service architecture, tool and integration development, and sophisticated knowledge infrastructure. The ideal candidate will be able to take ownership of large segments of the technology stack, make pragmatic technical decisions in ambiguous and emerging territory, and consistently ship high-quality, production-ready systems.

Requirements

Holds at least 5 years of backend systems engineering experience
Experience with AI/LLM agent platform development
API design & system integration experience
Must be product thinking
Must have experience with owning projects and be comfortable with self-direction

Nice To Haves

Self-driven and likes to work with others to remove roadblocks.
Curious and loves to explore and learn new technologies.
Demonstrated ability to build, deploy, and maintain large-scale, complex applications.
Cares more about solutions and impacting the customer experience than using a particular tool or framework.
Comfortable in a fast-paced, early-stage environment.
Demonstrates a "scrappy" and resourceful approach, proactively identifying solutions and unblocking yourself without needing a fully defined path.
Pragmatic and balances quality with speed.
Understands when to optimize for long-term durability and when to iterate quickly.
Prioritizes pragmatism over being overly precious about code, but never compromises on quality in a way that creates future issues.
Product-minded. Looks beyond the immediate task, seeking to understand the "why" behind the build and questioning whether it's the right product solution.
Comfortable contributing product thinking alongside engineering work.
Demonstrates a strong ownership mindset. Proactive, identifies gaps, and drives initiatives to completion without waiting for explicit instructions.
When encountering issues or ambiguity, addresses them directly.
Possesses strong backend engineering fundamentals. Can confidently design, build, and operate production systems.
Curious and eager to develop expertise in AI and LLMs. While deep research is not required, motivated to build practical, real-world products using these tools, specifically focusing on agent systems.

Responsibilities

Design, build, and own core components of the agent platform, from the orchestration layer to the tool integrations connecting it to internal systems.
Build and evolve the capabilities layer: APIs, data access patterns, and service integrations for agents to execute operational workflows.
Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems.
Design and implement the trust and safety framework, including audit trails, human-in-the-loop controls, and guardrails for safe and auditable AI-driven operations.
Contribute to agent evaluation and testing infrastructure, defining how we measure accuracy, reliability, and regression across agent behaviors.
Partner directly with Operations to understand workflows, identify automation opportunities, and translate process knowledge into agent capabilities.
Mentor other engineers on the team as it grows.