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• Building end-to-end web solutions from UI to backend
• Leading and contributing to development efforts across the full stack
• Design and implementation of web applications using modern frameworks and best practices
• Translation of business and user needs into intuitive, scalable technical solutions

• Develop and continuously improve modern platforms for commerce, MVNO, and digital services
• Deliver features across the entire customer journey
• Lead and orchestrate your agentic workforce
• Create new and advanced agents

Own the backend architecture. Our stack is Java 25, Boot 4, JPA, MariaDB, RabbitMQ, and Elasticsearch, among others....

Architecture & Infrastructure: Set standards for infrastructure, access, and deployment with IT, security, and the ML & AI engineers. Build all AI platform components with Terraform on top of the AWS foundation and GitLab setup of our cloud engineering team....

• Your responsibility: From day one, you'll own your stories and take end-to-end responsibility for your tasks.
• Your team: You'll work in a small team of no more than five full-stack engineers. Like this, our teams are more efficient and can move fast.

• Fejlesztés és komplex generatív AI alkalmazások megvalósítása a felfedezéstől a bevezetésig
• Legjobb gyakorlatok keretrendszerének kialakítása felhőarchitektúrák telepítéséhez AI ügynökök támogatására
• RAG/LLM értékelési folyamatok, beágyazási stratégiák létrehozása és promptok/runtime optimalizálása

• Architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines
• Building scalable, production-grade LLM services and agentic workflows alongside traditional ML systems

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

Predictive ML: Build models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection....

CI/CD ownership: Own and evolve our shared GitHub Actions platform so it stays maintainable, reliable and easy to adopt across the team's repositories. Our stack is mainly Python, so you'll need a solid grasp of the Python packaging and tooling ecosystem. Occasionally you'll extend the platform to...

• Surgical microscopes creating surgical augmented reality
• Ultrasound devices creating 3D ultrasound imaging
• Brainlab's own Robotic Arm (Cirq)

• Develop and maintain embedded software for ARM-based SoC and FPGA control platforms.
• Configure and integrate embedded Linux/PetaLinux, including board-support packages, bootloaders, device trees and peripheral drivers.

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage...

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team
• Automation of manual processes and optimization of CI/CD pipelines
• Code review and testing for high-quality deployments

• Design, develop, and integrate novel components, for example for establishing trust (e.g. SPIFFE / SPIRE), securing network connections (e.g. mTLS, IPSec), and secure device onboarding (e.g. FIDO Device Onboarding).
• Maintain and continually enhance our existing software written in Rust.

• You understand our platform architecture, existing integrations and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features and integrations.
• You've shipped your first hardware provider integration or significantly improved an existing one.

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

• Contribute to the full software development lifecycle, from concept to product release
• Design and implement software components and services across system layers using C++, C#, Rust, and modern web technologies (TypeScript, HTML5, React)

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Native Swift/iOS application development
• User interface and function design as planned
• Requirements gathering participation
• Project and technical planning participation
• Unit and UI test writing
• Developer testing participation
• Continuous learning