Software Craftsperson – Python & AI (Germany)

About the role

This position is for a Software Craftsperson specialized in Python and AI, based in Germany. You will work at the intersection of software engineering and AI‑native development, using AI as a co‑creator throughout the development lifecycle. The role offers high autonomy, strong ownership expectations, and the chance to shape engineering practices across multiple teams.

Key responsibilities

• Own the end‑to‑end lifecycle of engineering initiatives, from design to production stability.
• Design and deliver scalable, maintainable features with a focus on architecture and long‑term sustainability.
• Identify and drive improvements in technical, product, and process inefficiencies.
• Leverage AI tools to accelerate design, development, testing, debugging, and delivery workflows.
• Contribute to DevEx and delivery improvements using modern practices such as DORA metrics and flow optimization.
• Support estimation, planning, and vertical slicing to ensure incremental delivery of value.
• Provide technical leadership through mentoring, feedback, and guidance.
• Collaborate with stakeholders to clarify requirements, resolve ambiguity, and align on outcomes.
• Influence engineering standards, including code quality, testing approaches, and system design.

Required profile

• 4+ years of software engineering experience, with at least 2 years hands‑on in AI/ML production systems.
• Strong proficiency in Python (or TypeScript with willingness to work across both) and solid fundamentals in data structures, algorithms, and software design.
• Hands‑on experience building production applications using large language models (LLMs) such as GPT or Claude.
• Experience in prompt engineering and improving structured outputs from LLMs for real‑world business use cases.
• Familiarity with LLM orchestration tools (e.g., LangChain, LlamaIndex) and vector databases (e.g., Pinecone, Qdrant, PgVector).
• Knowledge of LLMOps practices including CI/CD, prompt versioning, evaluation, monitoring, and cost optimization.
• Experience designing scalable backend systems and APIs.

Required skills

• Python
• TypeScript
• Data structures & algorithms
• Software design principles
• Large Language Models (GPT, Claude, etc.)
• Prompt engineering
• LangChain
• LlamaIndex
• Vector databases (Pinecone, Qdrant, PgVector)
• LLMOps (CI/CD, monitoring, cost optimization)
• Scalable backend development
• API design