• Design, develop, and ship AI-driven capabilities—including agents, intelligent assistants, context-aware prediction, and generative AI—using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL • Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques—ensuring reliability, scalability, and maintainability • Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers • Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques • Champion best practices in AI system development—including evaluations, LLMOps, CI/CD, observability, and ethical AI principles • Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift • Write clean, well-tested, maintainable code, participating in code reviews and technical discussions across the stream • Troubleshoot and resolve production issues, ensuring high availability and performance

Role Description As an AI Engineer at Netguru, you will be: - Implementing Azure OpenAI API for applications. - Implementing RAG systems. - Working with open source models to fine-tune and apply them for clients. - Experimenting with different ML techniques. - Creating PoC, MVP of AI applications. - Designing, developing, and deploying machine learning models. - Leading AI project implementations. - Collaborating with cross-disciplinary teams. - Researching new techniques, models and approaches to apply AI in retail, healthcare, finance and general industries. Qualifications - Previous experience with software development (ideally 3-4 years of commercial experience). - Strong proficiency in Python and relevant AI frameworks. - ~2 years of hands-on experience with LLM/GenAI applications. - Knowledge how RAG, embeddings, vector databases work. - Experience with agentic workflows. - Familiarity with OpenAI / Microsoft APIs. - Experience with cloud platforms (AWS or Microsoft). - Experience with Langchain, autogen (AI Agent) or other LLM agentic framework. - Excellent communication skills in English – both verbal and written (C1+). - Based in European Union. Requirements - Experience with open-source LLMs (e.g. Llama, Mistral). - Experience with AI/ML frameworks such as PyTorch or TensorFlow. - Experience with voice AI or multimodal systems. - AI-related certifications. - Frontend and backend development experience. Benefits - Access to the WorkSmile platform offering benefits adapted to your preferences: - Multisport card. - Private health insurance package. - Life insurance. - And hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.). - Discounts on Apple products. - Performance Bonus. - Various internal initiatives: webinars, knowledge-sharing sessions, internal conferences. - 16 paid days off (B2B).

• Own product problems end-to-end, from discovery to production • Understand user problems, workflows and constraints • Turn vague requirements into clear product solutions • Design and build fullstack features across UI, backend, database, APIs and integrations • Build AI-powered workflows using LLMs, retrieval, agents, structured extraction and tool use • Work with documents, data sources and enterprise systems • Ship quickly, test with users and iterate based on feedback • Care about product quality, UX, performance, reliability, security and maintainability • Use AI coding tools as part of your daily workflow • Turn repeated customer patterns into scalable product features

• Design and integrate AI capabilities into SAP-based enterprise applications • Build prototypes and evolve them into scalable, production-ready features • Develop cloud-native applications using ABAP Cloud on SAP Business Technology Platform (BTP) • Contribute to the digital transformation of insurance processes, particularly claims management • Collaborate in customer workshops and explain technical concepts clearly and effectively