Agentic AI Software Engineer

Machine Learning Reply - Munich, Bayern, Germany - Global - Engineering & Technical

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.

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