22 days ago
Italy (city not specified)Senior
Responsibilities
- Design and develop applications and services leveraging LLMs, Generative AI, Azure AI services, and enterprise data.
- Build RAG solutions, multi-step AI workflows, multimodal use cases, and AI-powered solutions for engineering and R&D activities.
- Develop backend applications, services, and APIs using C#/.NET, ASP.NET Core, and Python where appropriate.
- Integrate AI models, databases, enterprise systems, and external services through APIs and application integrations.
- Evaluate models, prompts, context strategies, outputs, reliability, performance, latency, cost, and limitations.
- Contribute to technical architecture, technology selection, troubleshooting, documentation, and continuous improvement of AI applications.
- Collaborate with engineers, domain experts, architects, and stakeholders to identify use cases and translate needs into maintainable solutions.
- Provide technical guidance and share knowledge with junior engineers and students working on AI projects.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent professional experience.
- Significant professional experience in software development and strong backend engineering skills.
- Professional experience with C#/.NET and/or Python, with the ability and willingness to work with both technologies.
- Hands-on experience developing applications or services using Generative AI and LLMs.
- Understanding of prompting, context management, tokens, model limitations, software architecture, and application integration.
- Experience integrating services and systems through APIs and working with relational databases and data-driven applications.
- Ability to investigate complex technical problems, work autonomously, own technical topics, and propose pragmatic solutions.
- Strong communication and collaboration skills in an international environment, including professional working proficiency in English.
- Preferred experience with Azure AI Foundry, RAG, embeddings, vector databases, semantic search, Microsoft Semantic Kernel, ASP.NET Core, enterprise applications, AI evaluation, observability, cost monitoring, open-source or locally deployed LLMs, multimodal AI, document processing, Vision models, OCR, or AI-assisted development tools.
Categories
About Nokia
Nokia builds telecom network equipment and software—covering mobile (4G/5G RAN and core), IP and optical networking, fixed access, and related services—for communications service providers, enterprises, and governments. The company also conducts advanced research through Nokia Bell Labs. Founded in 1865 and headquartered in Espoo, Finland, Nokia is a public company with global operations and long-standing relationships with major mobile network operators worldwide.