We are looking for Senior Python Engineer to take ownership of backend architecture, technical leadership, code quality, and team development.

You will work on complex backend systems, design scalable architectures, and lead a talented engineering team, collaborating closely with business stakeholders to translate requirements into robust technical solutions.

You will play a key role in shaping the product roadmap, making strategic architecture decisions, and ensuring that delivery aligns with business goals.

A key component of the initiative is the development of internal AI-powered capabilities, including a generic chatbot and voice-to-text features. You will provide technical leadership for AI integrations, ensuring scalable, maintainable, and performant systems. Basic German is a plus, but your expertise in strategy, technical leadership, and hands-on delivery is what matters most.

Why Join Us:

• Lead a high-impact project with real public-sector relevance

• Take ownership of architecture and system design end-to-end

• Influence the product roadmap and technical direction

• Work with a talented, collaborative engineering team

• Contribute to AI-driven, innovative features with large-scale impact

Must-Have Skills:

• 5+ years experience in Software Development

• Strong product mindset with experience in team organization, task prioritization, and project planning

• Ability to make and own technical and architectural decisions

• Strong problem-solving and proactive approach

• Excellent communication and interpersonal skills for cross-team collaboration

• Strong analytical and organizational abilities; able to manage dependencies, risks, and cross-team planning

• Hands-on experience with Python 3, including asynchronous programming

• Experience with backend frameworks (FastAPI, Django DRF)

• Experience designing and developing microservices or modular architectures

• Strong knowledge of relational (PostgreSQL) and NoSQL (Redis, MongoDB) databases

• Experience with vector storage (e.g., Qdrant)

• Understanding of testing strategies (pytest, TDD/BDD principles)

• Familiarity with Docker, CI/CD pipelines, and production deployments

• Strong experience with Kubernetes and cloud platforms (AWS, GCP, Azure)

• Knowledge of clean code principles, SOLID, typing (mypy, Pydantic)

• Experience with scalability, production monitoring, and incident management

• Experience building GenAI or LLM-powered products

Nice-to-Have Skills:

• Experience with public-sector or government digital transformation projects

• Familiarity with LangChain, LlamaIndex, or similar tooling

• Experience with open-source LLMs (LLaMA, Mistral, Mixtral)

• Experience in high-growth startup environments

• Knowledge of cost optimization for AI inference and infrastructure

• Basic German language skills for team onboarding and future customer projects