Senior Python Developer for LLM

Key Responsibilities: You will be responsible to improve our backends for LLM-backed agent applications such as our Chatbots in Python. You will foster the customer experience by stabilizing and improving the existing solution (better visualization, automated validations, enable function calling and agent actions.) You will be responsible for identification and implementing upcoming, new business requirements. Cooperate with the business side including your active contribution in customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant’s mindset. Participate in team brainstorming sessions, code reviews, and pair programming sessions You will have the chance to identify possible use cases for automation and data science, innovative ideas are welcome. Competence Profile: Profound experience in software development using Python programming language, preferably in frameworks like FastAPI, Celery and data science libraries. Furthermore, knowledge in LLM frameworks such as LangChain, LLamaIndex and the client APIs of Azure and OpenAI completes your profile. Knowledge of database systems like Postgres or MySQL (or any other relational database) as well as document-based databases like Elasticsearch & MongoDB is a plus. Proven experience with development of RESTful APIs. you are flexible and responsive to changing work patterns and demands and preferably you have already successfully applied agile methodology (e.g. Scrum). active participation and contribution in extending and sharing your knowledge. fluent written and spoken English. Nice to have: German language skills. Prompt Engineering: Understanding how to optimize prompts for LLM models. Cloud DevOps Skills: Familiarity with containerization (Docker), CI/CD tools (GitHub Actions, GitLab CI), and deployment to cloud platforms (Azure, AWS, GCP) to ensure scalability and production-readiness. Familarity with MLOps or AI Workflow Orchestration Tools such as MLflow or Dagster Domain-Specific Experience in Telco or Finance industries. Interpersonal Skills: Proactivity towards customer service is essential. Flexible and responsive to changing work patterns and demands A thorough and methodical approach to work Highly developed skills in interpersonal communication Knowledge sharing – active contributor.