Senior software engineer ai python állás, munka

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• Orchestration, deployment and administration of the open source software services developed at OSL.
• Design, development and implementation of data workflows within the above-mentioned software tools.
• Design, development and maintenance of software extensions within the above-mentioned software tools.

Play a leading role in designing, building, and evolving our web-based applications in an AI-assisted environment (that support our business model)...

• Maintaining existing as well as creating new Linux applications on the unmanned aircraft.
• Designing and coordinating interfaces between teams, documenting the architecture and design decisions.

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

Develop and maintain data architecture: create and manage robust data architectures that support high-volume, high-throughput SaaS applications, focusing on reliability and scalability....

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact

• You will lead and develop a global cloud and infrastructure team of approx. 5 people, aligning our core leadership values with our cloud-vision.
• You will provide technical and architectural leadership, shaping our cloud and collaboration strategy with a focus on scalability, security, and innovation.

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Drive frontend development of customer-facing features on rebuy.de, focusing on Angular, with occasional opportunities for cross-stack collaboration (PHP/Symfony, Kotlin)
• Drive technical decisions on architecture, performance, and scalability for the frontend

• Architect and implement scalable data pipelines, models, and services using Azure Databricks, Azure Data Factory, Azure Foundry, and ADLS
• Establish and enforce standards for ingestion, transformation, governance, and storage across the Common Data Platform (CDP)

What you'll build We are seeking a highly skilled and motivated professional (f/m/d) to join our Sales & Services team in the Premium Hub Center of Expertise (CoE) for Customer & Vendor Management. You will drive customer success and innovation of SAP's most strategic customers in the area of...

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• Design, implement, and optimize data ingestion and transformation pipelines using Azure Databricks, Data Factory, and ADLS
• Apply automation to streamline and scale recurring data engineering tasks across the CDP

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....