Staff AI Software Engineer

Key Responsibilities:

Own key responsibilities in the design, architecture, and end-to-end delivery of AI-driven modules.

Propose innovative solutions by staying ahead of AI landscape trends and emerging technologies.

Create, design, develop, test, and monitor your code in production autonomously and reliably.

Collaborate with product managers, designers and other engineers to offer pragmatic solutions to real world problems and implement them end to end.

Work with your team to design solutions and be accountable for their execution.

Obtain a good understanding of the business to provide relevant solutions to users and clients.

Mentor and promote tech growth within the teams.

Stay up-to-date on new technologies and architectures, demonstrate good judgment in their potential applications.

Participate in an on-call rotation to respond to critical system issues and ensure continuous system reliability.

Our Tech Stack:

You do not need to be familiar with all of our technical stack or any specific functional area, but you have a strong willingness to learn and adapt quickly.

Typescript/ Node.js , Python, REST API/GraphQL APIs, Ruby/Rails, React.

AWS/Serverless or EKS, PostgreSQL, DynamoDB, OpenSearch, Redis.

€80,000 - €120,000 gross a year

This base range is not including a quarterly bonus and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, location, qualifications, and experience.

A little about you:

You have at least 5+ years experience in software development, using TypeScript & NodeJS/Python/Ruby/Rails or other languages, with a focus on delivering for security, scalability, availability, and performance.

AI experience is a must for this position: Strong knowledge of LLMs and hands-on experience building with them - including usage, prompting and model integration.

Proven understanding and direct experience with Agentic AI systems, including designing, developing, and deploying AI Agents and MCP prototype/servers.

Familiarity with AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern AI architectures such as RAG, vector databases, reranking, and performance optimization.

Experience working on frontend applications is a big plus, preferably with React.

Nice to have: you have worked with AWS in a production environment, preferably for high volume / high availability services and understand how to design for, deploy on and get the best out of, the environment and services provided by Amazon).

Value code simplicity, quality, performance and maintainability.

Can design pragmatic & simple architectures to solve problems at scale.

You possess effective and proactive communication skills, and can collaborate with different profiles and roles.