AI Engineer (LLM)

AI / LLM Engineer NNIT AI Center of Excellence ________________________________________ About the Role As an AI / LLM Engineer, you'll design, develop, and deliver enterprise AI solutions for global organizations. Working within NNIT's AI Center of Excellence, you'll leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and cloud technologies to solve business challenges across multiple industries. You'll work closely with architects, consultants, product owners, and engineering teams across Europe, Asia, and other regions to deliver secure, scalable, and production-ready AI solutions. ________________________________________ What You'll Do Build AI Solutions Design and develop enterprise AI applications that create measurable business value. You'll: • Develop AI applications using LLMs. • Build RAG solutions and AI agents. • Integrate AI into enterprise platforms and business workflows. • Design scalable and secure AI architectures. ________________________________________ Engineer for Scale Deliver production-ready AI solutions that meet enterprise engineering standards. You'll: • Improve solution quality through evaluation and testing. • Optimize performance, scalability, and reliability. • Apply modern software engineering and DevOps practices. • Build reusable frameworks and engineering assets. ________________________________________ Partner with Stakeholders Collaborate with business and technical teams throughout the delivery lifecycle. You'll: • Translate business requirements into technical solutions. • Participate in solution design and architecture discussions. • Work closely with global stakeholders. • Recommend practical AI adoption opportunities. ________________________________________ What Success Looks Like Success in this role means you: • Deliver production-ready AI solutions. • Build trusted relationships with global stakeholders. • Contribute reusable engineering assets. • Improve solution quality and operational efficiency. • Help grow NNIT's AI Center of Excellence. ________________________________________ What You'll Bring Education • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field. Professional Experience • 4–7 years of software engineering experience. • Strong Python development skills. • Experience building enterprise applications and REST APIs. • Experience with cloud-native development and Agile delivery. • Experience working with global or consulting teams is an advantage. Core Competencies • Structured problem solving. • Strong software engineering fundamentals. • Excellent communication skills. • Consulting mindset and customer focus. • Ownership and continuous learning. ________________________________________ Technologies You'll Use You'll work with a modern AI engineering stack built on Microsoft Azure and leading open-source technologies. Programming • Python AI Machine Learning • Azure OpenAI • Azure AI Foundry • LangChain • LangGraph • Prompt Engineering • Retrieval-Augmented Generation (RAG) • Agentic AI Cloud Engineering • Microsoft Azure • REST APIs • Git • Docker • CI/CD • Kubernetes (preferred) ________________________________________ Working in a Global Delivery Environment You'll collaborate directly with architects, consultants, engineers, and business stakeholders across Europe, Asia, and other regions as part of NNIT's global delivery model. Experience in consulting firms, multinational organizations, Global Capability Centers (GCCs), or enterprise IT environments is advantageous. ________________________________________ Industry Experience Experience in one or more of the following industries is preferred: • Life Sciences • Pharmaceuticals • Healthcare • Medical Devices • Banking Financial Services • Manufacturing Exposure to regulated environments (GxP, CSV, FDA, GDPR, HIPAA, ISO 27001, or SOC 2) is advantageous. ________________________________________ Your Background Previous Roles • AI Engineer • Machine Learning Engineer • Backend Software Engineer • Solutions Engineer • Technical Consultant Previous Environments • Global Consulting • Enterprise IT • SaaS • Global Capability Centers (GCCs) • Multinational Technology Companies ________________________________________ Additional Experience Experience with the following technologies is a plus: • Microsoft Copilot Studio • Semantic Kernel • Model Context Protocol (MCP) • Multi-Agent Systems • MLOps • Infrastructure as Code ________________________________________ How We Work • Hybrid work arrangement. • Agile delivery methodology. • Cross-functional global teams. • Continuous learning and knowledge sharing. ________________________________________ Why Join NNIT's AI Center of Excellence? You'll help build enterprise AI solutions for global organizations while working alongside international teams and expanding your expertise across AI, cloud engineering, enterprise consulting, and global delivery. ________________________________________ You'll Thrive Here If... • You enjoy solving business problems through technology. • You think like a consultant as well as an engineer. • You take ownership from concept to production. • You collaborate effectively with global teams. • You continuously learn and embrace emerging AI technologies.