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# Lead AI Engineer or Senior AI Software Engineer

- **Company:** PLENUM LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Corona (Software Development Kit), Django Web Framework, Python (Programming Language), Machine Learning, OpenShift, Search Technologies, Service-Oriented Architecture, Qdrant, Google Cloud, LangChain, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Git, Fastapi, Pgvector, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, CrewAI, Weaviate, AutoGen, Free and Open-Source Software, Machine Learning Operations, Restful APIs, Semantic Kernel, Docker
- **Published:** November 12, 2026
- **Apply:** https://jobs.y-axis.com/jobs/lead-ai-engineer-or-senior-ai-software-engineer-plenum-ag

## About the Role

* Completed studies in computer science, mathematics, physics or a comparable field of study
 * Solid knowledge of Python and modern software development
 * Experience with productive AI applications, machine learning, and generative AI
 * Excellent knowledge of backend systems, APIs and service-oriented architectures (e.g. FastAPI, Django, REST)
 * Solid knowledge of LLMs, RAG architectures, agent systems and GenAI frameworks
 * Experience with embeddings, vector databases and semantic search (e.g., pgvector, Qdrant, Weaviate)
 * Experience with container technologies and deployment (e.g., Docker, Kubernetes)
 * Passion for innovative AI solutions and the expansion of our engineering expertise
 * Technical curiosity, initiative and a hands-on mentality
 * Very good German and English skills

Nice to have:

 * Home base in Frankfurt, Munich or Rhineland
 * Experience with cloud platforms such as Azure, AWS, GCP or STACKIT
 * Safe handling of the productive operation and scaling of AI applications
 * Knowledge of MLOps, CI/CD and Infrastructure as Code
 * Experience with Git, Kubernetes and OpenShift
 * Open-source contributions , own software projects, or published AI applications
 * Experience in regulated industries such as insurance, financial services or energy
 * Knowledge of LangChain, LangGraph, AutoGen, Semantic Kernel or CrewAI

## Description

* Conception, development and operation of modern AI applications and software products
 * Building scalable backend systems and APIs with Python
 * Implementation of GenAI applications with LLMs, agent systems and RAG architectures
 * Design and implementation of intelligent agentic workflows
 * Implementation of AI tools for customer projects and internal processes
 * Evaluation of new technologies, frameworks and research approaches
 * Building reusable components, platforms and development standards
 * Participation in shaping architectural and technological decisions
 * Knowledge transfer and expansion of our AI engineering expertise