Job
- Level
- Experienced
- Location
- Hamburg, Munich
- Working Model
- Hybrid, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop AI agents for the energy sector and manage projects from discovery to implementation while collaborating closely with utilities and energy providers.
Job Technologies
Your role in the team
- We are building an AI platform for the energy industry. Our agents support processes such as supplier switching, grid connection, billing, and metering operations.
- As a Forward Deployed AI Engineer, you take a use case from discovery to go-live. You work directly with business units at municipal utilities and energy providers, understand their processes, and translate this knowledge into productive AI agents.
- There you connect GenAI Engineering with client work: you conduct technical interviews and workshops, develop functional solutions using Python, LLMs, RAG, and tools, and ensure their reliability in everyday use through systematic evaluation.
- Conduct workshops and technical interviews to understand complex processes and implicit knowledge.
- Translate requirements into Agent Blueprints and technical solutions.
- Developing AI agents with LLMs, RAG, tool use / function calling, and agent orchestration.
- Prepare documents, data, and knowledge for retrieval and agents.
- Develop working prototypes within a few days and iterate with users.
- Build golden questions, test sets, and regression tests for evaluation.
- Analyze feedback and continuously improve agents.
- Communicate technical possibilities and limitations clearly to clients.
- Further develop reusable components together with our platform team.
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Our expectations of you
Qualifications
- Excellent Python skills at production level.
- Understanding chunking, retrieval, metadata, and knowledge structures.
- Enjoyment of direct customer contact and the ability to independently structure unclear requirements.
- Strong ownership and pragmatic approach to changing requirements.
- German, negotiation level
- Energy industry expertise, e.g., market communication, GPKE, EDIFACT, SAP IS-U, or kVASy.
- BPMN or comparable process modeling.
- GCP, Docker and CI/CD.
- Knowledge Graphs or structured knowledge representation.
Experience
- Practical experience in GenAI Engineering, ideally at least 1-2 years.
- Experience with LLM applications, RAG, Prompt Engineering, Tool Use, and agent orchestration.
- Experience with the evaluation of GenAI applications, e.g., test sets, golden questions, or regression tests.
- Experience in consulting or other client-facing technical roles.
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What we offer
- 30 days of vacation.
- Profit sharing and prospects for VSOPs.
- Flexible working hours and a remote-first work model.
- Locations or Smartoffice around Hamburg, Ruhr Area/NRW, and Munich.
- Direct contact with departments and decision-makers.
- Early responsibility and a high degree of creative freedom.
- Modern AI environment with a focus on productive AI agents.
- Appreciative team and short decision-making paths.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
KnowWay GmbH
KnowWay GmbH, based in Lennestadt, Germany, is a company specializing in technology and consulting. Its focus is on the development of AI and software solutions for critical infrastructures, particularly in the energy and telecommunications sectors. The company assists its clients in the realization of data and AI projects up to the implementation of productive systems.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Forward Deployed AI Engineer Energy
- Location
- Hamburg, Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
