Senior AI Engineer

Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/

Responsibilities

So, what are the main responsibilities of the Senior AI Engineer in Netcompany?; You will work across the full lifecycle of AI solutions — from experimentation and prototyping to optimization, deployment, monitoring, and continuous improvement — ensuring that solutions deliver measurable business value.; As the Senior AI Engineer , you will:; Design, develop, and deploy end-to-end GenAI and LLM-based applications in enterprise environments.; Implement advanced RAG pipelines, orchestration workflows, prompt engineering strategies, and evaluation frameworks.; Build scalable backend services and APIs that integrate LLM solutions with enterprise systems (CRM, ERP, data platforms, internal tools).; Contribute to architectural design discussions and ensure implementation aligns with defined technical standards.; Optimize model performance, latency, and cost efficiency across cloud-based environments.; Implement robust testing, evaluation, monitoring, and observability for AI systems in production.; Collaborate with cross-functional teams including data engineers, software engineers, DevOps, and business stakeholders.; Ensure adherence to security, compliance, and responsible AI practices.; Support client workshops, technical demos, and solution presentations when needed.; Stay up to date with emerging GenAI frameworks, tools, and best practices, proactively bringing innovation into delivery projects.

Requirements

What would make you a fit for the role:; Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, Engineering, or a related field.; 5+ years of experience in AI/ML engineering or software engineering with strong AI exposure, delivering production-grade solutions.; Proven hands-on experience with GenAI and LLM solutions, including prompt engineering, RAG architectures, and evaluation techniques.; Strong programming skills in Python and experience with modern AI/ML frameworks and libraries.; Experience developing and deploying AI systems on cloud platforms (AWS, Azure), including CI/CD and MLOps practices.; Solid understanding of APIs, microservices, distributed systems, and scalable backend development.; Experience optimizing AI systems for performance, reliability, and cost.; Strong problem-solving skills and ability to work in fast-paced, client-driven environments. It would also be a plus if you match some of the following:; Experience in consulting, systems integration, or professional services environments.; Familiarity with frameworks such as LlamaIndex, LangGraph, or similar orchestration tools.; Experience with LLM monitoring, evaluation frameworks, and AIOps practices.; Exposure to AI governance, security, and compliance standards in enterprise settings.; Experience working with both commercial and open-source LLMs.