
Agentic AI Software Engineer
- AI
- Machine Learning
- AWS
- GCP
- Azure
- FastAPI
- Flask
- Spring Boot
- RAG
- LangChain
- LangGraph
- MLOps
- CI/CD
- Python
- Java
- Rust
- JavaScript
- SQL
- NoSQL
- Data Modeling
- Large Language Models
- AI/ML
- PyTorch
- TensorFlow
- Hugging Face
- OpenAI
- Docker
- Kubernetes
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.Â
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.
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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 experienceTeamwork & 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 andat least C1-level German. This requirement is mandatory.
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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
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What are you waiting for?
Join our team at Machine Learning Reply as a Consultant for Software Engineering and AI in Munich or Berlin!
Agentic AI Software Engineer · Machine Learning Reply