Agentic AI Software Engineer

About This Opportunity

We are representing a confidential technology consulting firm seeking an Agentic AI Software Engineer in Munich, Bayern, Germany. Our client works across banking, insurance, automotive, and retail sectors, building production-grade AI systems that leverage large language models, autonomous agents, and modern cloud architectures.

Candidates apply through Get A Job.ai, where our talent team will screen your profile before submitting qualified applicants to the client. Please do not attempt to contact the client directly.

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 proof-of-concept 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:

• Completed university studies with a strong quantitative or technical background (Computer Science, Data Science, Engineering, or similar)
• Initial consulting and project management experience preferred
• 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 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 solutions
• Strong communication skills for explaining technical concepts to both technical and business stakeholders
• Fluent in English and at least C1-level German (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
• Proven teamwork and adaptability in consulting environments

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your qualifications and conduct an initial screening. If your profile aligns with our client's needs, we will submit your application on your behalf and coordinate all subsequent interview stages. We ask that you do not contact the client directly, as all communication will be managed through our team to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices and welcomes applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.