Senior Python Developer for LLM

2 weeks ago

Bucharest, Bucureşti, Romania Deutsche Telekom Services Europe Romania (DTSE Romania) Full time €60,000 - €80,000 per year

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.

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