Forward Deployed AI Engineer, Energy

🔥 19 hours ago

🇩🇪 Germany – Remote

⏰ Full Time

🟢 Junior

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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KnowWay

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💼 Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

KnowWay is an IT services company that builds AI solutions together with its clients. It works with customer teams from the initial idea through solution design, prototyping, implementation and operation in German data centers, emphasizing GDPR-compliant deployments and the option for on‑premises and open‑source models. KnowWay helps implement agentic workflows, shape data and AI strategy, and capture and maintain company knowledge using its "KnowWay method. " It also offers products such as Mitschrift. AI, an AI meeting assistant for Microsoft Teams, Zoom and Google Meet, with hosting and models run in German/EU data centers. The company cites experience from leading IT consultancies and regulated industries such as energy and telecommunications.

📋 Description

• Conduct workshops and expert interviews to understand complex processes and tacit knowledge • Translate requirements into Agent Blueprints and technical solutions • Develop AI agents using LLMs, RAG, tool use/function calling, and agent orchestration • Prepare documents, data, and knowledge for retrieval and agent use • Build functional prototypes within days and iterate with users • Create Golden Questions, test sets, and regression tests for evaluation • Analyze feedback and continuously improve agents • Clearly communicate technical capabilities and limitations to customers • Further develop reusable components together with the platform team • Own use cases from discovery through go-live • At senior level, advance standards and blueprints for agent building, engage with customer leadership, and scale forward-deployed engineering across the team

🎯 Requirements

• Hands-on experience in GenAI engineering, ideally with at least 1–2 years of experience building LLM applications, RAG systems, prompt engineering, tool use, and agent orchestration • Excellent production-grade Python skills • Experience evaluating GenAI applications, such as through test sets, Golden Questions, or regression tests • Understanding of chunking, retrieval, metadata, and knowledge structures • Enjoyment of direct customer interaction and the ability to independently structure unclear requirements • Strong ownership and a pragmatic approach to changing requirements • Business-fluent German • Personal projects, GitHub repositories, or other work samples are desirable • Energy industry expertise, such as market communication, GPKE, EDIFACT, SAP IS-U, or kVASy (nice to have) • BPMN or comparable process modeling experience (nice to have) • GCP, Docker, and CI/CD experience (nice to have) • Knowledge graphs or structured knowledge representation (nice to have) • Experience in consulting or other customer-facing technical roles (nice to have)

🏖️ Benefits

• 30 days of annual leave • Profit sharing and the opportunity to participate in VSOPs • Flexible working hours and a remote-first working model • Offices and smart-office options in and around Hamburg, the Ruhr area/NRW, and Munich • Direct interaction with subject-matter experts and decision-makers • Early responsibility and significant scope to shape solutions • Modern GenAI environment focused on production-grade AI agents • Supportive team and short decision-making processes

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