Senior AI System Engineer

You will work with the best React Native experts on applications used by millions worldwide.

You have a possibility to contribute to our projects in Open Source like React Native Paper, Linaria, RN Testing Library etc.

There are plenty of possibilities to showcase your expertise: You can speak at our conference, be featured in our blog, or React Universe On Air episode.

You are the one to decide in which area you want to grow, you’ll have an individual self-development budget to upgrade your soft skills, managing skills or become a Mentor in the future.

Act as a trusted AI architect & consultant for our enterprise clients, helping them turn ambitious ideas into robust, production-ready solutions across cloud, edge, and on-prem environments

Design and own end-to-end LLM & multi-agent architectures - from vector-based RAG pipelines and document-processing workflows to multi-agent orchestration and autonomous decision frameworks

Create and publish libraries utilizing local on-device models

Create and publish design papers on behalf of the company together with our R&D team

Build cloud-native AI infrastructure on AWS or equivalent on Cloudflare / GCP with security, governance, and cost optimization baked in

Define and implement AI governance & monitoring (bias detection, drift tracking, compliance reporting) to keep models accurate, explainable, and audit-ready

Evaluate, benchmark, and create custom models - open-source and commercial

Contribute to the open-source community through internal R&D initiatives

Stay one step ahead by experimenting with the “next big thing” in AI

Mentor and inspire engineers around you, sharing knowledge through tech talks, code reviews, and architectural workshops

A seasoned AI/ML engineer with proven track record designing and shipping production AI systems (LLMs, NLP, computer vision, or multi-modal)

Have 7+ years of experience in Software Engineering

Bachelor's Degree, Master's Degree or Ph. D in Computer Science, Data Science, Artificial Intelligence, or a related field

Fluent in Python and comfortable with TypeScript

Skilled at vector search & RAG pipelines and understand embedding selection, chunking, and retrieval tuning

Comfortable designing multi-agent orchestration

Understand AI governance, security, and MLOps

Data-driven - you benchmark, profile, and optimize everything from prompt tokens to GPU utilization

Open-source minded - public GitHub contributions, conference talks, or community forum activity are huge pluses

Fluent communicator in English (min. B2+), able to explain complex concepts to technical and non-technical stakeholders

Proactive, self-driven, and a team player who loves sharing knowledge and elevating those around you

Fun to work with :)