Agentic AI Software Engineer

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!