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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer Germany - **Company:** Infosys Technologies - **Location:** Frankfurt am Main, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Interoperability, Python (Programming Language), Network Security, Machine Learning, OpenAI, Tensorflow, Sentiment Analysis, Virtualization Technology, Alwayson, Datadog, Pinecone, Google Cloud, Chatbots, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, Topic Modeling, Generative AI, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, LangSmith, Kubernetes, HuggingFace, AgentOps, CrewAI, Weaviate, AutoGen, Machine Learning Operations, FAISS, Model Context Protocol, Splunk, Network Server, Appdynamics, Dynatrace, Docker - **Published:** October 6, 2026 - **Apply:** https://www.jobfinder.de/job/senior-ai-engineer-germany/ ## About the Role Job DescriptionRole - Senior AI EngineerTechnology - AI/ ML/Gen AI, Data Science, Poly Cloud - Azure, AWS, GCP Location - Germany - Frankfurt/Hamburg/Dusseldorf/Stuttgart/Munich/ErlangenBusiness Unit - TOPAZDLVRYCompensation - Competitive (including bonus)Job Summary:We are seeking an accomplished Generative AI Consultant to drive the design and implementation of innovative AI solutions for our clients. The Generative AI Consultant will play a critical role in understanding client needs, designing tailored solutions, and ensuring the successful delivery of projects that meet defined metrics. This role requires strong technical expertise across Generative and Agentic AI-including LLMs, retrieval-augmented generation (RAG), autonomous and multi-agent systems, and modern interoperability standards such as the Model Context Protocol (MCP)-coupled with excellent communication skills to engage with clients and internal teams effectively.Your roleIn the role of Senior Consultant within Topaz Unit, you will be one of the pillars shaping the Gen AI/ Agentic AI ecosystems for our esteemed clientele in Europe. You will play a vital role in researching AI trends, designing and defining AI models and frameworks, carving out solutions specific to client needs and driving efficiencies and business benefits. In the process, you will also be collaborating and working closely with business, product and engineering teams, across geographies. You will be pivotal to problem definition and discovery of the overall solution and guide teams on project processes, deliverables. You will anchor business pursuit initiatives, client training, in-house capability building. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.Required*Experience of solutioning in Gen AI, Agentic AI, classic ML and automation space*Experience and good understanding of GenAI prompt engineering, RAG pipelines, Supervised/ unsupervised ML and AI observability*Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS).*Experience in designing and scaling GenAI chatbots.*Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler*Good understanding of Responsible AI principles*Ability to transform business problems into analytical solutions, fostering cross functional collaboration between various stakeholders like business, data science and engineering and building integrated solutions*Strong articulation, stakeholder management and consulting skills*Experience driving productivity and cost optimisationsSkills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain,Langsmith/Langfuse, Gen AI / Agentic AI , Cloud platforms (Azure AI Foundry, AWS Bedrock/Sagemaker, GCP Vertex AI) , MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).Preferred*Delivered AI projects within Agile frameworks*Experience on Gen AI Feedback Analysis, topic modelling, sentiment analysis*Knowledge of AgentOps and OpenTelemetry*Understanding of Network Security Concepts, Network Telemetry and Analytics*Understanding of Cloud computing and Virtualization*Exposure to APM/Observability tools (Dynatrace, AppDynamics, Datadog, Splunk etc.)*Exposure to onshore-offshore model working with professionals spread across the globePersonalBesides the professional qualifications, we respect and place equal importance to the candidate's personality which facilitates success in customer environments. Few traits we look for are:High analytical skillsA high degree of initiative, flexibility and adaptabilityHigh customer orientationGood team engaging skillsQuality awarenessGood verbal and written communication skillsTransparency and IntegrityAbout Topaz CoETopaz Centre of Excellence ## Description uncompromising on ethics, trust, privacy, security and regulatory compliance. About InfosysInfosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation.With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and