Dein persönlicher KI-Karriere-Agent
Discovering automation opportunities in People, Finance, and BizOps workflows. Building custom Python/TypeScript agents and integrating with Slack, Google Workspace, and Jira. Operator instinct and end-to-end shipping experience required. Annual development budget of €3,000, health & sport subsidy.
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Anforderungen
- C1 Level English
- Hiring across business, engineering, hybrid, and self-taught backgrounds
- Track record of shipping things end-to-end
- Evidence of finishing what you start
- Operator instinct
- Ability to reframe problems with non-technical colleagues
- Coding strong enough to ship
- Ability to read and structure codebases
- Ability to write tests
- Reasoning about cost, latency, and error handling
- Hands-on experience designing and shipping AI agents
- Hands-on experience shipping LLM-driven workflows
- Integrated model with at least one external system
- High agency and bias to ship
- Ability to find and ship smallest first version
- Comfort working in English-first office
- Familiarity with at least one agent framework
- Experience with RAG
- Experience with vector stores
- Experience with evals
- Experience with prompt engineering
- Exposure to Google Workspace API
- Exposure to Slack API
- Exposure to Atlassian API
- Exposure to HRIS / payroll APIs
- TypeScript
- SQL
- Experience interviewing customers or stakeholders
- Experience scoping a product
- Experience selling
- Ability to turn feedback into working spec
- German (B2+)
- Experience in B2C, energy or climate-tech
- Proactive in identifying automation opportunities
- Preference for heads-down coding over extensive collaboration
- Empathy and observation skills
Aufgaben
- Discover automation opportunities by observing People, Finance, and BizOps workflows
- Identify repetitive or context-heavy tasks suitable for AI
- Design lightweight automation solutions using tools like Zapier and n8n
- Build custom Python and TypeScript agents and tools
- Integrate agents with Slack, Google Workspace, Confluence, Jira, HRIS, accounting stack, and data lake
- Measure the impact and adoption of AI automations
- Evaluate and optimize automations for time savings and quality improvements
- Train teammates to use AI tools effectively
- Run office hours for AI support and training
- Document AI usage patterns and best practices
- Set internal standards for AI privacy, GDPR compliance, and cost control
- Decide on building, buying, or skipping AI solutions
- Own the end-to-end process of AI automation
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Annual development budget of 3,000 €
- Allowance for meals on working days
- Health & Sport Subsidy
- Jobticket
- MacBook or Windows Laptop
- Ergonomic workplace
- Regular Team Events
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Flexa erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei FlexaÜber das Unternehmen
The company delivers a Virtual Power Plant (VPP) that enables efficient electricity trading for the residential sector, supporting a renewable electricity future.
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