tekkminds
tekkminds
tekkminds क्लाउड-नेटिव विकास, कृत्रिम बुद्धिमत्ता और आईटी आधुनिकीकरण पर केंद्रित एक प्रौद्योगिकी परामर्श कंपनी है। इसका कार्य AWS और Microsoft Azure परामर्श, इंजीनियरिंग और प्रशिक्षण, क्लाउड या ऑन-प्रिमाइसेस वातावरण के लिए एआई एकीकरण और कस्टम मॉडल विकास, फुल-स्टैक सॉफ़्टवेयर डिलीवरी, DevOps और CI/CD, तथा IoT समाधानों तक फैला हुआ है। कंपनी दीर्घकालिक B2B साझेदारियों के माध्यम से एंटरप्राइज़ ग्राहकों के साथ काम करती है और अनुकूलित इंजीनियरिंग को स्केलेबल, सुरक्षित प्रणालियों तथा अधिक कुशल व्यावसायिक प्रक्रियाओं पर केंद्रित दृष्टिकोण के साथ जोड़ती है।

Senior Cloud Backend Engineer – AI (Full-Time, Hybrid Germany)

Build Java and Kotlin cloud backends and AI integrations for enterprise clients. Develop APIs, RAG and agent systems, and cloud-based machine learning components.

विवरण

  • Develop cloud-native applications with Java, Kotlin, and Spring Boot
  • Create REST APIs for enterprise platforms
  • Containerize and orchestrate services with Docker and Kubernetes or OpenShift
  • Build, improve, and maintain CI/CD pipelines
  • Modernize and migrate established backend systems
  • Develop retrieval-augmented generation systems with LangChain or LangChain4J
  • Create MCP servers that connect existing APIs with large language models
  • Design agent-based systems and agent-to-agent communication
  • Integrate vector databases and embedding technologies
  • Deploy and monitor cloud-based AI components using MLOps practices
  • Advise enterprise clients on AI integration initiatives
  • Make architecture decisions across backend engineering and AI
  • Advance internal engineering standards and best practices

आवश्यकताएँ

  • At least five years of backend development experience with Java or Kotlin
  • Strong expertise in Spring Boot or Jakarta EE
  • Practical Kubernetes experience and hands-on use of at least one cloud platform such as AWS, Azure, or GCP
  • Hands-on experience with Docker and CI/CD tools such as GitLab, Jenkins, or GitHub Actions
  • Practical experience with large language models through a personal project, proof of concept, or production deployment
  • Understanding of retrieval-augmented generation concepts or the ability to learn them quickly
  • Business-fluent German
  • Fluent English
  • Python knowledge for machine learning or AI components is a plus
  • Experience with LangChain, LlamaIndex, or LangChain4J is a plus
  • Knowledge of vector databases such as Pinecone, Weaviate, Qdrant, or ChromaDB is a plus
  • Experience with the Model Context Protocol or agent frameworks is a plus
  • Experience with prompt engineering or model fine-tuning is a plus
  • GitOps experience with ArgoCD or Flux is a plus
  • Strong communication skills when working directly with clients
  • Ability to think architecturally
  • Willingness to learn rapidly evolving AI technologies
  • Pragmatic approach to work

लाभ

  • The company funds certifications for AWS, Azure, GCP, and Kubernetes
  • A substantial professional development budget supports AI courses and conferences
  • Access to leading AI communities and meetups, with opportunities to speak
  • Work with modern AI frameworks including Spring AI, Embabel, LangChain4J, ADK, Strands, AutoGen, and similar tools
  • Work on challenging enterprise projects for established clients
  • Choose preferred tools and hardware, including laptop and phone
  • Access to an innovation lab for proof-of-concept work
  • Modern office with convenient public transport connections
  • Agile teams with short decision-making paths
  • Autonomy to lead personal technical initiatives
  • Regular internal talks covering AI developments
  • Dedicated working time for blogs and technical articles
  • Close collaboration with a team that shares knowledge

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