Senior Software Engineer - AI Engineering

Jobtailor

Amsterdam, Netherlands

3 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Amsterdam, Netherlands

Java

API

Agile Methodologies

Artificial Intelligence

Cloud Engineering

Code Review

Continuous Integration

Distributed Systems

Python

Software Architecture

Software Engineering

Large Language Models

Backend

Containerization

Kubernetes

Design, develop, and maintain generative AI services and reusable components using mostly Python and a little bit of Java.
Define and promote best practices in engineering, including scalability, observability, testing, and CI/CD.
Contribute to system designs spanning multiple services and modules, aligning with architectural best practices.
Collaborate with product, platform, and research teams to translate AI prototypes into production-ready capabilities.
Work within a Kubernetes (EKS) environment to deploy scalable, containerized applications.
Contribute to the resolution of complex technical challenges across distributed systems.
Mentor less-senior developers on engineering principles, GenAI patterns, and platform development.
Participate in code reviews, architecture sessions, and cross-team initiatives to ensure quality and maintainability.
Stay informed of the latest developments in generative AI and advocate for responsible integration into product ecosystems.

5+ years of software engineering experience
Solid understanding of software development methodologies and data modeling principles
Deep expertise in Python and Java
Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph)
Strong experience with Kubernetes (EKS) and cloud-native architectures
Proven track record building scalable backend systems and APIs
Experience mentoring engineers and contributing to architectural decisions
Ability to work collaboratively across functions in an Agile or Kanban environment