Which challenges are expecting you:
- 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
Your skills:
- At least 8 years profound experience in building and operating production-grade software using Python programming language, preferably including the use of frameworks like FastAPI, pydantic and data science libraries
- Furthermore, knowledge in LLM frameworks such as LangChain, LLamaIndex and the client APIs of Azure and OpenAI completes your profile. Ideally, you have already built a production-ready solution involving those APIs.
- Practical experience in working with relational database systems like Postgres, in-memory databases like Redis and as well as document-based databases like Elasticsearch & MongoDB is more than welcome
- You can provide references for RESTful APIs and web service applications you have built and operated on a production level
- 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.
- You are flexible and comfortable with changing work patterns and demands and you prefer working agile (e.g. following methodologies like XP, Scrum, Lean)
- Collaboration with our customers is key, so you master the challenge to explain complex architectures and technologies in a language easy to understand and you know how to demonstrate solution approaches and results
- Actively mentoring more junior personell and sharing your knowledge on software development lifecycle and best practices with them
- fluent written and spoken English.
Nice to have:
- German language skills
- Prompt Engineering: Understanding how to optimize prompts for LLM models
- Familarity with MLOps or AI Workflow Orchestration Tools such as MLflow or Dagster
- Domain-Specific Experience in Telco or Finance industries
Benefits
- Motivational financial package
- Meal tickets
- Medical insurance
- Opportunities to grow and develop in a start-up environment
- Dynamic and multicultural working environment
- Great training opportunities
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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