tekkminds
tekkminds
tekkminds — бұлттық ортада әзірлеуге, жасанды интеллектке және IT инфрақұрылымын жаңғыртуға бағытталған технологиялық консалтинг компаниясы. Оның қызметтері AWS және Microsoft Azure бойынша консалтинг, инженерлік жұмыстар мен оқытуды; бұлттық немесе жергілікті ортаға арналған жасанды интеллект интеграциясы мен арнайы модельдер әзірлеуді; толық стек бағдарламалық жасақтаманы жеткізуді; DevOps және CI/CD үдерістерін; сондай-ақ IoT шешімдерін қамтиды. Компания корпоративтік клиенттермен ұзақ мерзімді B2B серіктестіктері негізінде жұмыс істеп, бейімделген инженерлік шешімдерді масштабталатын әрі қауіпсіз жүйелерге және бизнес-процестердің тиімділігін арттыруға басымдықпен ұсынады.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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