Job
In this role, you will maintain existing systems, enhance agents, integrate LLMs, implement new automations, and improve our knowledge base for maximum efficiency and team support.
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Your role in the team
- Maintain existing system: Operate, monitor, and improve our agents and automations, from error runs and costs to switching to new model versions.
- Further develop agents: Connect agents with new tools and data sources and gradually increase their autonomy. Trading, payments, external communication, and regulatory matters always remain under human control.
- Proactively approach new automations: Independently and creatively identify where the most time and attention are lost within the company, and prioritize implementing new features and automations there. First question and simplify, then automate.
- Integrate LLMs: Connect LLM APIs (e.g., Claude, GPT, Grok) to Slack, Google Workspace, GitHub, and internal systems via Tool Use, the Model Context Protocol (MCP), and clean interfaces.
- Making knowledge usable: Expand our knowledge base (Git as the single source of truth, search, RAG) so that people and agents receive the same, up-to-date answers.
- Measuring reliability: Monitoring, evaluations, and honest metrics. A green checkmark only counts if the result is truly there.
- Own the stack: Migrate automations that are still tied to individual laptops today to our servers in a secure and version-controlled manner, including proper handling of access credentials.
- Keep the team up to date: Regularly inform the team about new developments in the AI world and in our own workflows, and help colleagues utilize the agents in everyday work.
Our expectations of you
Education
- Degree in Computer Science, Business Informatics, Data Science or similar, or comparable practical experience.
Qualifications
- Genuine passion for LLMs: You follow new models, releases, papers, and tools, and try out new things yourself.
- Excellent Python skills.
- Diligence in data and access rights (Least Privilege, handling of secrets, GDPR).
- Honesty about one's own results: You are aware that LLMs hallucinate, and you implement checks instead of claiming success.
- Very good knowledge of English and German.
Experience
- Practical experience with LLM APIs (e.g., Anthropic, OpenAI): prompting, tool use/function calling, structured outputs, cost management.
- Experience with operating services on Linux servers (e.g., systemd, Docker, logs) and with Git/GitHub in the pull request workflow.
- Experience with API integrations (REST, Webhooks, OAuth) in tools such as Slack, Google Workspace, or GitHub.
What we offer
- Competitive salary with real prospects: Bonuses, salary increases, and promotions are possible depending on performance.
- Build, don't just use: We develop our agents in-house instead of piecing together black boxes.
- Own servers, up-to-date models, and plenty of creative freedom.
- A clear mission: Level 5 autonomy, based on the levels of autonomous driving. Measured, not claimed.
- Plenty of room for development: personally and professionally, with monthly development discussions and clear goals.
- Training budget and time for further education, whether language courses, AI tools, or professional seminars: everything that advances you.
- Workshops, trade fairs, and conferences, e.g., ees Europe in Munich, E-world in Essen, or WeAreDevelopers World Congress in Berlin.
- 26 days of vacation, six days more than legally required.
- MacBook and company SIM card with unlimited data volume at full speed, both also for private use.
- International, highly motivated team with regular team events.
- Flexible working hours.
- Modern workplace in a central, well-connected location in Dresden.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
BaehrBots GmbH, based in Dresden, specializes in energy trading and software-driven process automation. The company develops algorithmic trading systems and digital interfaces for the electricity market, with a strong emphasis on smart data processing.
- Startup
- Onsite, Hybrid
- Power Sector, Economy
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