3 software developer devops jobs found in Hybrid

The  Viridium Insurance Group  specializes in the efficient management of life insurance portfolios. This means we acquire insurance companies and their policy portfolios, integrate them into our organization, and manage the contracts long-term. The Viridium Group includes Entis Life Insurance, Heidelberger Life Insurance, Proxalto Life Insurance, and Skandia Life Insurance. The Viridium companies manage 3.2 million life insurance contracts and assets totaling €68 billion. This makes Viridium one of the largest life insurance groups in Germany and contributes to ensuring that life insurance remains a reliable component of private retirement planning for millions of people. To expand the  Supporting Systems  department at our location Neu-Isenburg We are looking for a: Senior Software Engineer (Python / Life Insurance)* What it's about You will become part of a  newly formed, interdisciplinary team  in the...

We offer you: Innovative projects with room for your ideas and individual development opportunities Flexibility through remote work and flexible working hours A culture of appreciation with flat hierarchies and direct communication Further training opportunities and certifications in our Academy Attractive benefits such as team events, modern equipment and a balanced work-life balance Work-life balance Your tasks: Development and optimization of ML and deep learning models Building and maintaining MLOps pipelines (training, deployment, monitoring) Collaboration with data scientists and software developers Use of cloud technologies (AWS, Azure, GCP) for scalable solutions Performance tuning and monitoring of models during operation Your profile: Completed studies in computer science, data science, or a related field. Excellent knowledge of Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)...

Your tasks We are looking for an experienced AI Engineer to join our growing AI team at Beroe X nnamu. You’ll play a key role in developing intelligent, agentic AI systems using cutting-edge large language models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG). This is a hands-on role combining software engineering, ML/NLP expertise, and a passion for building next-gen autonomous agents. You’ll collaborate closely with AI leads, backend engineers, data engineers, and product managers to bring scalable and intelligent systems to life—integrated into real-world procurement and business applications. Key Responsibilities Design and implement agentic AI pipelines using LangGraph, LangChain, CrewAI, or custom frameworks Build robust retrieval-augmented generation (RAG) systems with vector databases (e.g., FAISS, Pinecone, OpenSearch) Fine-tune, evaluate, and deploy LLMs for task-specific applications Integrate...