Which challenges are expecting you

You will lead the development and improvement of our Python backends for LLM-backed agent applications, such as chatbots, as well as the ongoing evolution of our Agentic AI platform.
You will provide technical direction for a team of Agentic AI engineers, define engineering standards, review architectural decisions, and support the team in delivering scalable, reliable, and production-ready solutions.
You will improve customer experience by stabilizing and enhancing existing solutions, including better visualization, automated validations, function calling, agent actions, observability, and quality assurance.
You will identify and implement new business requirements and translate them into sustainable technical solutions.
You will drive cooperation with the business and actively contribute to customer workshops, meetings, and calls. The ability to explain technical topics clearly to business colleagues and demonstrate a consultant’s mindset is essential.
You will lead technical brainstorming sessions, architecture discussions, code reviews, and pair programming sessions.
You will identify potential use cases for automation, Agentic AI, and data science. Innovative ideas are welcome.
You will actively mentor engineers, support their development, and promote software engineering best practices across the team.

Your skills

At least 8 years of experience building and operating production-grade software in Python, preferably using frameworks such as FastAPI, Pydantic, Temporal, and similar technologies.
Proven experience leading engineers, technical workstreams, or software development teams.
Strong understanding of software architecture, distributed systems, API design, asynchronous processing, scalability, resilience, and production operations.
Preferably strong knowledge of LLM and Agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, as well as Azure OpenAI and OpenAI APIs. Ideally, you have already built and operated a production-ready solution using these technologies.
Practical experience with relational databases such as PostgreSQL, in-memory databases such as Redis, and document or search databases such as Elasticsearch and MongoDB.
Proven experience designing, building, and operating RESTful APIs and web service applications in production.
Cloud and DevOps experience, including Docker, CI/CD tools such as GitHub Actions or GitLab CI, and deployment to Azure, AWS, or GCP.
Understanding of production requirements for Agentic AI systems, including testing, evaluation, observability, security, cost management, and reliability.
You are comfortable making technical decisions, explaining trade-offs, and aligning engineers and stakeholders around a clear solution.
You are flexible, comfortable with changing priorities, and prefer working in agile environments such as XP, Scrum, or Lean.
You can explain complex architectures and technologies in a clear and accessible way to customers and business stakeholders.
You actively mentor more junior personnel and share your knowledge of software development lifecycle and best practices.
Fluent written and spoken English.

Nice to have

German language skills.
Prompt engineering and LLM evaluation experience.
Familiarity with MLOps or AI workflow orchestration tools such as MLflow or Dagster.
Experience with Kubernetes, infrastructure as code, or LLM observability tools.
Domain-specific experience in telecommunications or finance.

Deutsche Telekom Services Europe (DTSE) was founded by Deutsche Telekom AG and delivers support services, with focus on HR, for the European footprint of DT Group.

Join us in this international environment and you’ll be exposed to many different competencies, cultures and languages.

If you want to join this innovative team and take the opportunity to be part of a growing company, apply now!

DTSE-RO is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decision at DTSE-RO are based on business needs, job requirements and individual qualifications, with no regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation and gender identity.

DTSE-RO will not tolerate discrimination or harassment based on any of these characteristics.

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Principal Python Engineer for Agentic AI at Deutsche Telekom