Agentic AI Software Engineer
Machine Learning Reply
Agentic AI Software Engineer at Machine Learning Reply is a full time role based in Munich, Bayern, Germany. Listed skills: Data Frameworks. It was published on 23 July 2026 and was open at last check.
| Role | Agentic AI Software Engineer |
|---|---|
| Company | Machine Learning Reply |
| Location | Munich, Bayern, Germany |
| Employment type | Full Time |
| Skills listed | Data Frameworks |
| Published | 23 July 2026 |
| Status | Open at last check |
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!
Create your free OnJob profile to apply — we'll take you to Machine Learning Reply's application after sign-up. · Posted 23 Jul 2026.
Agentic AI Software Engineer at Machine Learning Reply — questions answered
What does the Agentic AI Software Engineer role at Machine Learning Reply pay?
Machine Learning Reply does not publish a salary on this Agentic AI Software Engineer listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Agentic AI Software Engineer role at Machine Learning Reply based?
Machine Learning Reply lists this Agentic AI Software Engineer role in Munich, Bayern, Germany, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Machine Learning Reply before you apply.
What skills does the Agentic AI Software Engineer role at Machine Learning Reply require?
The Agentic AI Software Engineer at Machine Learning Reply listing names Data Frameworks. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
Is the Agentic AI Software Engineer role at Machine Learning Reply still open?
The Agentic AI Software Engineer posting at Machine Learning Reply was open at OnJob's last check of the employer's careers page, having been published on 23 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Agentic AI Software Engineer role at Machine Learning Reply?
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