AI Software Engineering Lead

Company Overview

is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. Our mission is to make online business success simpler, by providing our customers with all the tools and resources they need to excel online and remain ahead of the curve.

Position Overview

We are looking for a highly skilled Lead AI Software Engineer to technically leader our AI-driven software projects, and unlock the potential of GenAI across the group. The ideal candidate will utilise their technical knowledge to build exceptional AI-driven products and experiences.

This role is ideal for innovative developers eager to design, implement and integrate scalable AI solutions, focusing on APIs, RAG architectures, and agentic frameworks. It's an exciting opportunity to shape the future of our AI for SMBs, to work in an agile environment, with the latest technologies including AI based coding assistants and bring your ideas to life.

Key Responsibilities:

Design and implement scalable AI powered software solutions, focusing on APIs, RAG architectures, and agentic frameworks

Implement agentic AI systems using tools such as MCP servers and APIs

Integrate AI software solutions into existing environments and workflows, ensuring seamless operation and performance optimization

Test and deploy software solutions that meet business needs

Participate in code reviews to ensure code quality and consistency

Become well recognized as an internal AI expert, driving key AI initiatives from concept to deployment supporting the transformation into an AI first company

Mentor team members

Ideal Profile:

5+ years of experience in Software Engineering, ideally in full stack/backend product-focused software engineering

Strong proficiency in Python programming (leveraging frameworks like FastAPI, Flask), microservices architecture and event-driven architecture(eg. KafKa, SSE, WebSocket)

Expertise in Large Language Models (LLMs) including fine-tuning, prompt engineering, and working daily with models like GPT, Claude, Gemini

Hands-on experience with vector databases (e.g., OpenSearch, FAISS) for efficient similarity search and semantic search & retrieval of text embeddings

Practical experience deploying and scaling RAG systems and AI agents in a production environment.

Skilled in implementing conversational AI systems leveraging APIs like OpenAI Chat Completion and Assistant endpoints

Knowledge of Retrieval-Augmented Generation (RAG) techniques to enhance model responses by integrating external knowledge bases during inference (would be a great plus)

Strong problem-solving skills with excellent communication and documentation skills

Ability to work collaboratively with cross-functional teams

Nice to have Skills:

Experience building multi-hop RAG systems with self-consistency and chain-of-thought prompting

Deep understanding of current AIOps & MLOps practices, deploying and monitoring real-time inference models and ETL pipelines

Experience with distributed data tools (eg. Spark, Dask, Apache Beam)

Experience with cloud platform technologies

Right to Work

At any stage, please be prepared to provide proof of eligibility to work in the

country you're applying for. Unfortunately, we are unable to support relocation

packages or sponsorship visas

"Come as you are"

Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

ESG

"At , our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? ."

Department

AI

Locations

Budapest- Hungary, Bratislava-Slovakia, Paris - France, Crete - Greece, Florence - Italy, Barcelona - Spain

Remote status

Fully Remote

Seniority

Mid - Senior level

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