AI Application Engineer – AI Products (LLM & RAG) (m/f/d)

Machine Learning Reply·Berlin, Berlin, Germanyjunior

En corto

→Construyes aplicaciones de IA con LLM y RAG para clientes empresariales.
→Trabajas en equipo con producto, diseño y clientes para entregar soluciones de IA escalables en la nube.
→Destaca el enfoque en productos reales, no solo modelos: transformas IA en software usable.

Convincing communication and presentation skills in German and English

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓Titulación en Ciencias de la Computación, Ingeniería de Software o campo técnico equivalente.
✓Habilidades sólidas en programación con Python y frameworks backend modernos.
✓Experiencia en desarrollo de aplicaciones con IA, ML o generativa.
✓Familiaridad con RAG y bases de datos vectoriales.
✓Capacidad para comunicarse en alemán e inglés (hablado y escrito).
✓Experiencia trabajando directamente con clientes empresariales.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonLLMRAGVector databasesAWSAzureGCPLangChainLlamaIndexHuggingFace

¿A quién escribirle en Machine Learning Reply?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

At Machine Learning Reply, we help organizations turn cutting-edge AI technologies into real-world applications and scalable digital products. To strengthen our team, we are looking for an AI Application Engineer who enjoys building AI-powered solutions and intelligent product features using modern machine learning and generative AI technologies. While our GenAI Engineers focus on model development and AI architectures, AI Application Engineers focus on building user-facing AI applications and turning AI capabilities into scalable products. In this role, you will work at the intersection of AI engineering, backend development, product development and cloud deployment, building production-ready AI systems that create real business value. Tasks As an AI Application Engineer, you design and build AI-powered applications and product features for enterprise clients. Benefits Work in an open and collaborative environment within the global Reply network and build next-generation AI applications and intelligent digital products Collaboration with interdisciplinary teams including AI engineers, software developers and data scientists across industries such as Banking, Insurance, Automotive and Retail A very active social program including paid training, conferences, communities of practice, hackathons and Reply XChange Monetary Benefits include: Mobility package, Gym subsidy & WellPass, Insurance & Pension Scheme, Corporate Savings Plan, KiTa and Childcare Allowance Flexible work arrangement between home office, EU-wide workation options, on site office-work in our downtown Munich office with access to Stammstrecke, and client on site visits Requirements Degree in Computer Science, Software Engineering, Data Science or a comparable technical field Convincing communication and presentation skills in German and English in order to participate in workshops of both languages Strong programming skills in Python and modern backend frameworks Experience building applications using AI, machine learning or generative AI technologies Familiarity with Retrieval-Augmented Generation (RAG) and vector databases Familiarity with cloud platforms such as AWS, Azure or GCP Engaging directly with enterprise clients to understand their business challenges and identify high-impact opportunities for AI-driven solutions Nice to have Experience running technical workshops or facilitating solution design sessions Experience developing APIs, microservices and scalable backend systems, including vector databases Experience with containerization and DevOps practices (Docker, CI/CD pipelines, Kubernetes or similar) Experience with frameworks such as LangChain, LlamaIndex or HuggingFace Experience deploying AI services in cloud environments Knowledge of AI observability, monitoring, and evaluation of LLM systems Example projects you may work on Enterprise AI knowledge assistants AI copilots for internal business tools Semantic search platforms for enterprise data Document in

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