Forward Deployed AI Engineer, Energy

This is a fully remote position, open to applicants in Germany.

📋 Description

• Facilitate workshops and conduct expert interviews to grasp intricate processes and implicit knowledge.

• Convert requirements into Agent Blueprints and technical solutions.

• Create AI agents utilizing LLMs, RAG, tool utilization/function calling, and agent orchestration.

• Organize documents, data, and knowledge for retrieval and agent functionality.

• Build functional prototypes within days and iterate based on user feedback.

• Develop Golden Questions, test sets, and regression tests for evaluation purposes.

• Assess feedback and implement continuous improvements to agents.

• Articulate technical capabilities and limitations clearly to clients.

• Collaborate with the platform team to further develop reusable components.

• Take ownership of use cases from discovery through to go-live.

• At a senior level, enhance standards and blueprints for agent development, engage with customer leadership, and expand forward-deployed engineering across the team.

⛳️ Requirements

• Practical experience in GenAI engineering, preferably with 1–2 years of experience in developing LLM applications, RAG systems, prompt engineering, tool usage, and agent orchestration.

• Proficient in production-grade Python programming.

• Experience in evaluating GenAI applications through test sets, Golden Questions, or regression tests.

• A solid understanding of chunking, retrieval, metadata, and knowledge structures.

• Enjoy direct customer engagement and possess the ability to independently structure ambiguous requirements.

• Strong sense of ownership and a pragmatic approach to evolving requirements.

• Business-fluent in German.

• Personal projects, GitHub repositories, or other work samples are advantageous.

• Expertise in the energy sector, including market communication, GPKE, EDIFACT, SAP IS-U, or kVASy (preferable).

• Experience with BPMN or similar process modeling (preferable).

• Familiarity with GCP, Docker, and CI/CD (preferable).

• Knowledge of knowledge graphs or structured knowledge representation (preferable).

• Background in consulting or other customer-facing technical roles (preferable).

🏝️ Benefits

• 30 days of annual leave.

• Profit sharing and the opportunity to engage in VSOPs.

• Flexible working hours and a remote-first work model.

• Access to 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 opportunity to influence solutions.

• A modern GenAI environment focused on production-grade AI agents.

• A supportive team with streamlined decision-making processes.