Agentic AI Software Engineer

About This Opportunity

We are representing a confidential AI consulting organization seeking an experienced Agentic AI Software Engineer to join their team in Munich. Our client works with leading enterprises across banking, insurance, automotive, and retail sectors to deliver cutting-edge AI solutions. This role offers the opportunity to design and deploy production-grade intelligent systems while working with modern LLM technologies and autonomous agent frameworks.

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 with clients and cross-functional teams to identify requirements and deliver impactful AI solutions

What We're Looking For

Required Qualifications:

• University degree in Computer Science, Data Science, Engineering, or related quantitative field
• 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 SQL and NoSQL database technologies, including database design and data modeling
• Experience with large language models (LLMs), prompt engineering, fine-tuning, and integrating generative AI into production solutions
• Strong communication skills for explaining technical concepts to both technical and business stakeholders
• Fluent English and C1-level German required (mandatory)

Desired 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 such as PyTorch, TensorFlow, Hugging Face, or similar tools
• Strong software engineering principles (SOLID, testing, version control)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Cloud certifications are a plus
• Proven teamwork and collaboration abilities with flexibility across different project roles

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your background and career goals. If there's a strong match, we will submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on your experience level and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices and providing equal opportunities to all qualified candidates regardless of background.