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    Agentic AI Software Engineer

    Original title · English translation pending

    Machine Learning ReplyMunich, Bayern, GermanyPosted 2026-09-22Last seen in source
    Location
    Munich, Bayern, Germany
    Employment
    Entry
    Workplace
    On-site
    Data Frameworks
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    Role description

    Original description · English translation pending

    We are looking for a skilled and motivated Consultant to join our team. The ideal candidate combines strong software engineering expertise with hands-on experience in modern AI systems, including agentic AI and generative AI applications. You will support our clients in designing and building intelligent, production-ready systems that leverage LLMs, autonomous agents, and scalable cloud architectures.

    Responsibilities:

    · Design, build, and deploy scalable, production-grade systems on cloud platforms such as AWS, GCP, or Azure.

    · Develop and operate agentic AI systems, including multi-step workflows, tool integration, and autonomous decision-making components.

    · Lead end-to-end implementation of AI-driven features, from prototyping (PoC) to production deployment.

    · Build high-performance APIs and backend services for AI applications using frameworks such as FastAPI, Flask, or Spring Boot.

    · Integrate generative AI solutions (LLMs, vector databases, RAG pipelines, orchestration frameworks like LangChain/LangGraph) into enterprise environments.

    · Design and implement robust orchestration and retrieval pipelines for scalable AI applications.

    · Set up and maintain MLOps / LLMOps pipelines and CI/CD workflows for continuous integration, evaluation, and deployment.

    · Ensure software quality through testing, monitoring, observability, and performance optimization.

    · Collaborate closely with clients and cross-functional teams to identify requirements and deliver impactful AI solutions.

    What we offer you:

    · Work on innovative AI and Software Engineering projects across industries (Banking, Insurance, Automotive, Retail, etc.).

    · Expand your skills in areas such as MLOps, cloud architecture, data engineering, and generative AI.

    · Collaborate with top technology partners in the cloud, AI, and automation ecosystem.

    · Access to training, certifications, and interdisciplinary projects.

    · Join a vibrant community with hackathons, conferences, and knowledge-sharing events.

    · Award-winning office space in downtown Munich with great transport connections.

    · Flexible working model between client site, Reply office, and remote work.

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    Job requirements

    Minimum Qualifications:

    · Completed university studies with a strong quantitative or technical background (e.g., Computer Science, Data Science, Engineering, or similar).

    · Ideally, you have already gained some initial consulting and project management experience Teamwork & Collaboration – ability to work effectively with others toward common objectives.

    · Adaptability – flexibility in taking on different roles within a team and understand the need of the costumer

    · Solid programming experience in at least two programming languages such as Python, Java, Rust, or JavaScript.

    · Practical experience deploying ML/AI models into production environments (on-premises or cloud).

    · Experience with different database technologies, including SQL and NoSQL, with knowledge of database design, data modeling, and data management.

    · Experience with large language models (LLMs), prompt engineering, fine-tuning, and integrating generative AI into actual solutions.

    · Strong communication skills for explaining technical concepts to both technical and business stakeholders.

    · Fluent in English and at least C1-level German. This requirement is mandatory.

    Desired Qualifications:

    · Hands-on experience with cloud AI services.

    · Understanding of MLOps concepts (model registry, monitoring, CI/CD).

    · Knowledge of modern AI/ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs.

    · Awareness of software engineering principles (SOLID, testing, version control).

    · Familiarity with containerization and orchestration (Docker, Kubernetes).

    · Cloud certifications are a plus.

    · Teamwork & Collaboration – ability to work effectively with others toward common objectives.

    · Adaptability – flexibility in taking on different roles within a team and understand the need of the costumer

    What are you waiting for?

    Join our team at Machine Learning Reply as a Consultant for Software Engineering and AI in Munich or Berlin!

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