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tekkminds
tekkminds
11 – 50 Angajați
ConsultanțăLogisticăMarketing
tekkminds este o companie de consultanță tehnologică axată pe dezvoltare cloud-native, inteligență artificială și modernizarea sistemelor IT. Activitatea sa include consultanță, inginerie și instruire pentru AWS și Microsoft Azure, integrarea inteligenței artificiale și dezvoltarea de modele personalizate pentru medii cloud sau locale, livrarea de software full-stack, DevOps și CI/CD, precum și soluții IoT. Compania colaborează cu clienți enterprise prin parteneriate B2B pe termen lung, combinând ingineria adaptată nevoilor clientului cu un accent pe sisteme scalabile și sigure și pe procese de afaceri mai eficiente.
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Locurile de muncă ale companiei

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.

DEGermaniaHibridNormă întreagăSeniorLimbă Obligatorie: germanăLimbă Obligatorie: englezăInginer backendInginer software
AWSAzureCloudDockerFluxGoogle Cloud PlatformJavaJenkinsKotlinKubernetesOpenShiftPythonSpringSpring Boot

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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