Agentic AI Software Engineer

machinelearningreply; München; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Benefits dieser Stelle

Access to training and certifications

Flexible working model

Innovative projects across various industries

Award-winning office space in downtown Munich

Zusammenfassung

machinelearningreply is seeking a skilled Consultant to join their team in Munich or Berlin. This role involves designing and building intelligent systems utilizing modern AI technologies. The ideal candidate will have strong software engineering skills, hands-on AI experience, and the ability to collaborate with clients and teams.

Candidates should be fluent in English and possess at least C1-level German. The company offers innovative projects, flexible working models, and access to training resources.

Qualifikationen

• Strong quantitative or technical background and programming experience in two languages.
• Experience deploying ML/AI models in production environments.
• Familiarity with SQL and NoSQL databases and cloud AI services.

Aufgaben

• Design, build, and deploy scalable AI systems on cloud platforms.
• Develop and operate agentic AI systems.
• Lead implementation of AI features from prototyping to production.

Kenntnisse

Strong programming experience in Python, Java, Rust, or JavaScript

Experience with large language models (LLMs)

Fluency in English

C1-level German

Adaptability and teamwork

Ausbildung

Completed university studies in Computer Science, Data Science, Engineering, or similar

Tools

MLOps tools

AI frameworks like PyTorch and TensorFlow

Cloud platforms (AWS, GCP, Azure)

Jobbeschreibung

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 customer.
• 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 customer.

What are you waiting for?

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