Agentic AI Software Engineer

Responsibilities

We are representing a confidential AI consulting organization seeking an Agentic AI Software Engineer based in Munich. In this role, you will:

• 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 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 including LLMs, vector databases, RAG pipelines, and orchestration frameworks 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're Looking For

Required qualifications:

• University degree with a strong quantitative or technical background (Computer Science, Data Science, Engineering, or similar)
• Initial consulting and project management experience is ideal
• Solid programming experience in at least two languages such as Python, Java, Rust, or JavaScript
• Practical experience deploying ML/AI models into production environments (on-premises or cloud)
• Experience with database technologies including SQL and NoSQL, with knowledge of database design and data modeling
• Experience with large language models (LLMs), prompt engineering, fine-tuning, and integrating generative AI into solutions
• Strong communication skills for explaining technical concepts to both technical and business stakeholders
• Fluent English and C1-level German (mandatory)
• Teamwork and adaptability with ability to work effectively toward common objectives

Preferred qualifications:

• Hands-on experience with cloud AI services
• Understanding of MLOps concepts including model registry, monitoring, and CI/CD
• Knowledge of modern AI/ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, or LangChain
• Awareness of software engineering principles (SOLID, testing, version control)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Cloud certifications

How We Work With You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional candidates with meaningful opportunities. When you apply through our platform:

• A dedicated recruiter will review your application and conduct an initial screening
• We'll submit qualified candidates directly to our client for consideration
• Please do not contact the client organization directly—all communication flows through Get A Job.ai
• We advocate for you throughout the interview process and offer negotiations

Our client offers innovative AI and software engineering projects across industries including banking, insurance, automotive, and retail. You'll have opportunities to expand your skills in MLOps, cloud architecture, data engineering, and generative AI while collaborating with top technology partners. The role includes a flexible working model between client site, office, and remote work, with an office location in downtown Munich.

Pay

Compensation details will be discussed during the screening process with Get A Job.ai.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.