ML

Agentic AI Software Engineer

Machine Learning Reply · Munich, Bayern, Germany · 16 Sep 2026
CompanyMachine Learning Reply
LocationMunich, Bayern, Germany
TypeFull-time
Posted16 Sep 2026

Job Description

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. Deutschlandticket for public 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! Find Jobs in Germany on Arbeitnow

Requirements Listed

  • ·      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.
  • ·      Hands-on experience with cloud AI services.

Benefits Mentioned

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

Data Frameworks

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